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AI Cures 2025 Posters
Students, postdocs, residents, and fellows with accepted abstracts should bring posters between 36 inches x 28 inches and 48 inches x 36 inches.
Session I: Posters #1-50
Session II: Posters #51-95
☆ indicates that the work has been Spotlighted.
Short talks will take place in Dining Room 2 and Dining Room 6 on the 6th floor from 12pm to 1pm.
Short talks will be 5 mins each.
# | Title | Author Names | Author Affiliations | Status |
|---|---|---|---|---|
1 | ☆ Context-aware sequence-to-function model of human gene regulation | Ekin Deniz Aksu, Martin Vingron | Max Planck Institute for Molecular Genetics, Max Planck Institute for Molecular Genetics | Highlight an ongoing collaboration |
2 | GECCO: Graph-based Enhancement of Chromatin COntacts | Albert Hung, Na Sun, Collin Stultz | Whitehead, MIT | Highlight an ongoing collaboration |
3 | Macrophages Interaction of Naturally Occurring Nanoparticles | Kela Roberts | MIT, Harvard, Boston College | Looking for a clinical collaborator |
4 | ☆ Machine Learning for Inferring Isotype Switching Paths Using Single-Cell BCR and Transcriptomics Data | Shahab Saghaei, Gaspar A. Pacheco, Duane R. Wesemann | Department of Medicine, Division of Allergy and Clinical Immunology, Division of Genetics, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA, Broad Institute of MIT and Harvard, Cambridge, MA 02139, USA, Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA 02139, USA, Department of Medicine, Division of Allergy and Clinical Immunology, Division of Genetics, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA, Broad Institute of MIT and Harvard, Cambridge, MA 02139, USA, Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA 02139, USA, Department of Medicine, Division of Allergy and Clinical Immunology, Division of Genetics, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115, USA, Broad Institute of MIT and Harvard, Cambridge, MA 02139, USA, Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA 02139, USA | Looking for a clinical collaborator |
5 | AI-Driven 4-D Laser-Particle Barcode Decoding for Million-Cell Tracking | Mahsa Zarei, Nicola Martino²³, Seok-Hyun Yun²³ |
² Wellman Center for Photomedicine, Harvard Medical School, ³ Massachusetts General Hospital, Boston, MA 02139, USA | Highlight an ongoing collaboration |
6 | COMPREHENSIVE: COMPact RNA Elements with Highly Engineered performance for Scaling In Vivo Evolutions | Jonathan C. Chen, Giuliano De Carluccio, Nayoung Kim, Shiva Razavi, Kehan Zhang, James J. Collins | MIT | Highlight an ongoing collaboration |
7 | Applied Particle Filtering to Generative Protein Design | Matthew Noyes, Robin Walters | Northeastern University,Northeastern University | Looking for a clinical collaborator |
8 | ☆ De-Risking Drug Discovery via AI-Driven Multi-Target Screening | Ian Jenkins, Waldemar Lernhardt, Drew Gupta, Jayson Uffens, Rahul Gupta, Jonathan RT Lakey | 1. GATC Health Inc., Irvine, CA 92614, USA.
2. Harvard Medical School, Boston, MA, 02115
3. West Virginia University, Morgantown, WV 92605 USA
4. Department of Surgery and Biomedical Engineering, University of California Irvine, Irvine, CA, 92868, USA.
5. Department of Cardiovascular and Thoracic Research, West Virginia University, Charlestown, West Virginia, 92605, USA. | Looking for a clinical collaborator |
9 | ☆ Human-Centric, Multiscale AI for early, System-level Prediction of Drug Toxicities | Farhan Khodaee, Rohola Zandie | MIT & Absentia Labs, MIT & Absentia Labs | Looking for a clinical collaborator |
10 | ☆ Harnessing Generative AI to Build a Foundation Model for Human Microbiome Analysis and Precision Medicine | Nicholas A. Medearis, Ali R. Zomorrodi | Massachusetts Institute of Technology, Massachusetts General Hospital | Highlight an ongoing collaboration |
11 | An Approach to Skin Cancer Detection Through Reverse KL Divergence Distillation | Pirm Dhararag, Tri Vo, Quoc Gia Huy Do, Smaran Sure, Haihao Liu | Brandeis University, Purdue University, Binghamton University, Washington High School, Massachusetts Institute of Technology | Highlight an ongoing collaboration |
12 | ☆ Brain tumor volume model for infiltrative tumor cells that enables contouring-consensus building within radiation oncology departments | Gregory Buti, Ali Ajdari, Greg Sharp, Helen Shih, Thomas Bortfeld | MGB, MGB, MGB, MGB, MGB | Highlight an ongoing collaboration |
13 | ESPWA: Deep Learning for Estrogen Receptor Status Prediction in Resource-Limited Settings | Dagoberto Pulido-Arias, Rebecca Henderson, Christophe Millien, Joarly Lomil, Marie Djenane Jose, Gabriel Flambert, Jean Bontemps, Emmanuel Georges, Alekhya Gunturi, Palak Shah, Tiago Goncalves, Jayashree Kalpathy-Cramer, Elizabeth Gerstner, Seth Wander, S. Joe Sirintrapun, Dennis Sgroi, Jose Jeronimo, Philip E. Castle, Kenneth Landgraf, Ali Brown, Temidayo Fadelu, Lawrence N. Shulman, John Guttag, Dan Milner, Jane Brock, Christopher Bridge, Albert Kim | Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Department of Obstetrics & Gynecology, University of Alabama-Birmingham, Hopital Universitaire de Mirebalais, Zanmi Lasante, Mirebalais, Haiti, University of Florida College of Medicine, Boston University School of Medicine, Institute of Systems and Computer Engineering, Technology and Science, Faculdade de Engenharia, Universidade do Porto, Department of Ophthalmology, University of Colorado-Anschutz, Massachusetts General Hospital Cancer Center, Department of Pathology, Massachusetts General Hospital, Division of Cancer Prevention, National Cancer Institute, NIH, Division of Cancer Epidemiology and Genetics (DCEG), National Cancer Institute, NIH, American Society of Clinical Pathology, Center for Global Health, Dana-Farber Cancer Institute, Abramson Cancer Center, University of Pennsylvania, Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Department of Pathology, Olive View-UCLA Medical Center | Highlight an ongoing collaboration |
14 | Evaluating Pain Assessment and Management in Acute Pancreatitis | Sammy Mustafa, Hara Moraitaki, Leo Celi, Sicheng Hao, Deirde Goode, Tamara Kahan | Harvard Medical School, MIT, MIT, MIT, MGB, Beth Israel | Highlight an ongoing collaboration |
15 | ☆ Pancreatic Cancer Risk Prediction | Christopher Alexiev, Yasmin G Hernandez-Barco, Avinash Kambadakone, Ignacio Fuentes Ribas, Regina Barzilay | MIT, MGH and Harvard Medical School, MGH and Harvard Medical School, MIT, MIT | Highlight an ongoing collaboration |
16 | Predicting pancreatic cancer using AI trained on real-world longitudinal diagnostic and medication records | Asif Khan, Chunlei Zheng, Daniel Ritter, Moshir Harsh, Duncan Forster, Sophie Sharum, Debora S. Marks, Nhan V. Do , Nathanael R. Fillmore, Chris Sander | Harvard Medical School, VA Boston Healthcare System, Cornell University NY, Boston University School of Medicine, Broad Institute of MIT and Harvard, CEDAR Center, Knight Cancer Institute OHSU, DF/HCC Cancer Center, Ludwig Center at Harvard
| Looking for a clinical collaborator |
17 | ☆ I-Guided Parameter Tuning of Lumped-Parameter Heart Models in Ex-Vivo Perfusion Systems | Mohammad Alali, Amin Ramezani, SelenaShi-YaoLi, Selena Shi YaoLi, David A. D'Alessandro, Alireza Rabi, Farhad R. Nezami
| Cardiac Division, Department of Surgery, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA,USA
Cardiac Division, Department of Surgery, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA,USA
Cardiac Division, Department of Surgery, Mas General Hospital, Harvard Medical School, Boston, MA,USA
Cardiac Division, Department of Surgery, Mas General Hospital, Harvard Medical School, Boston, MA,USA
Cardiac Division, Department of Surgery, Mas General Hospital, Harvard Medical School, Boston, MA,USA
Ajmera Transplant Centre, University Health Network’s (UHN) Peter Munk Cardiac Centre, Toronto, CA
Cardiac Division, Department of Surgery, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA,USA
| Looking for a clinical collaborator |
18 | Predicting Mortality in ICU Patient with Hypertension Using Machine Learning on EHR Data | Rishabh Goel, Andrew B. Gumbert, Stephanie Chen | Department of Biomedical Informatics (Harvard Medical School), Department of Biomedical Informatics (Harvard Medical School), Department of Biomedical Informatics (Harvard Medical School) | Looking for a clinical collaborator |
19 | ☆ Predicting risk of ischemic stroke using 12-lead ECGs | Danielle F. Pace, Rahul Mahajan, Samuel F. Friedman, Valentina D'Souza, Athar Roshandelpoor, Jonathan Waks, Shinwan Kany, Jennifer E. Ho, Patrick T. Ellinor, Mahnaz Maddah, Christopher D. Anderson, Shaan Khurshid | Broad Institute of MIT and Harvard, Massachusetts General Hospital, Brigham and Women’s Hospital, Beth Israel Deaconess Medical Center, University Heart and Vascular Center Hamburg-Eppendorf | Highlight an ongoing collaboration |
20 | ☆ CardioVision: A Patient-Specific Multimodal AI System for Digital Twinning and Predictive Planning in TAVR | Aanchal Sahu, Amir Rouhollahi, Ali Homaei, Shahab Masoumi, Ashraf Sabe, Arminder Jassar, Farhad R. Nezami | Brigham and Women’s Hospital Harvard Medical School | Highlight an ongoing collaboration |
21 | Developing AI-Derived Metabolomic Signatures of Nutrition: Interplay with Genetics Predisposition and Implications for Cardiometabolic Disease | Siying (Avon) Yang¹², Hannah Guan¹, Huan Yun¹, Jun Li¹, Liming Liang¹ | ¹Harvard Medical School ; ²Harvard T.H. Chan School of Public Health
| Highlight an ongoing collaboration |
22 | Development and Multi-center Validation of Machine Learning Models for Adverse Events after Cardiac Surgery | Qingchu Jin1, PhD; Saeed Amal1,7, PhD; Jaime B. Rabb2, MPH; Felistas Mazhude2, MBChB, MPH; Venkatesh Shivandi1,3, BS; Negin Maddah4,5, BS; Amin Ramezani4, PhD; Farhad R. Nezami4, PhD; Robert S. Kramer2, MD; Douglas B. Sawyer2,6, MD, PhD; Raimond L. Winslow1,3,7,8, PhD | 1 Roux Institute at Northeastern University, Portland ME, USA,
2 Mainehealth Maine Medical Center, Portland, ME, USA,
3 Koury College of Computer Science, Northeastern University, Boston MA, USA,
4 Cardiac Surgery Division, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA,
5 Department of Mechanical and Industrial Engineering, Northeastern University, Boston, MA, USA,
6 MaineHealth Institute for Research, Portland ME, USA,
7 Department of Bioengineering, Northeastern University, Boston MA, USA,
8 School of Clinical and Rehabilitation Sciences, Northeastern University, Boston MA, USA,
| Highlight an ongoing collaboration |
23 | CardiacGPT: A Real-Time AI Assistant for Intraoperative Guidance and Postoperative Decision Support in Cardiac Surgery | Amin Ramezani, Anahita Moradmand, Farhad R Nezami | Postdoctoral Research Fellow, Research Assistant Professor, Research Scientist | Highlight an ongoing collaboration |
24 | Controlled Generation of Anatomy with Localized Geometric Guidance | Karim Kadry, Abdallah Abdelwahed, Ajay Manicka, Shoaib Goraya, Farhad Nezami, Elazer Edelman | MIT, American University in Cairo, MIT, Brigham and Women's Hospital, Brigham and Women's Hospital, MIT | Highlight an ongoing collaboration |
25 | From Imaging to Intervention: AI-Guided CABG Planning for Precision Surgery | Seyedmostafa Rezaeitaleshmahalleh, Emeline Debalme, Shahab Masoumi, Borami Shin, Sary F. Aranki, Farhad R. Nezami | Department of Surgery, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA.
Department of Surgery, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA.
Department of Surgery, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA,
Department of Surgery, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA,
Department of Surgery, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA, | Highlight an ongoing collaboration |
26 | Machine Learning for noninvasive diagnosis of Inflammatory Bowel Disease
| Anson L.H. So, Ohad Lewin-Epstein, Chris Smillie | Massachusetts Institute of Technology, Massachusetts General Hospital, Harvard Medical School | Looking for a clinical collaborator |
27 | Clinician-First Web User-Interface for Dystonia AI Models | Pin-Yu Lin, Aki Koivu , Dongren Yao, Kristina Simonyan | 1Department of Otolaryngology-Head & Neck Surgery, Massachusetts Eye & Ear, Boston, Massachusetts, USA , 2Department of Otolaryngology-Head & Neck Surgery, Harvard Medical School, Boston, Massachusetts, USA (1 for main contact and 1&2 for the rest) | Highlight an ongoing collaboration |
28 | Visual Prompt Recognition Based Navigation Assistance for Blind and Visually Impaired Travelers | Jingwu Luo, Meet Bhanushali, Shrinivas Pundlik, Gang Luo | Schepens Eye Research Institute of Mass Eye & Ear, Northeastern University, Schepens Eye Research Institute of Mass Eye & Ear, Schepens Eye Research Institute of Mass Eye & Ear | Highlight an ongoing collaboration |
29 | ☆ EviCAM Senior: AI-Powered Platform for Evidence-Based Geriatric Care | Keming Yan, Yu Liu,Yuanyuan Li, Jiani Wu, Valeria Sacca, Mattia Cannistra, Jian Kong | Mass General Hospital | Highlight an ongoing collaboration |
30 | Quality-Assured AI-Based Framework for Scalable and Adaptive Radiology Education:
A Pilot Implementation in Chest Radiography with a Gamified Platform | Hyunji Kim, Young-Tak Kim, Synho Do | Massachusetts General Hospital, Massachusetts General Hospital, Massachusetts General Hospital | Looking for a clinical collaborator |
31 | ☆ Socially Assistive Mobile Manipulator (SAMM) for Enhancing Independence after Cervical Spinal Cord Injury | Tess Meier (1,4)
, Nicolette McGeorge (2)
, Spencer Lynn (2)
, Madison Clark-Turner (2)
, Michael Giancola (2)
, Nikolaas Bender (2)
, Christopher Tuthill(1,3)
, Ernest Vincent Cross II (2)
, and Randy D Trumbower (1,3,4) | (1) Spaulding Rehabilitation Hospital, (2) Charles River Analytics, (3) Travis Roy Center for Enhancing Independence, (4) Department of Physical Medicine and Rehabilitation, Harvard Medical School | Highlight an ongoing collaboration |
32 | Reimagining Recovery: AI-driven Support for Families After Pediatric Behavioral Health Crises
| Hanxiao Lu, MS¹, Mallika Reddy Pajjuri, BS¹⁺², Jennifer Cahill, PhD, RN³ | ¹Psyche Care, Cambridge, MA ²MIT delta v, Martin Trust Center for MIT Entrepreneurship, Cambridge MA, ³Munn Center for Nursing Research, Massachusetts General Hospital, Boston, MA | Highlight an ongoing collaboration |
33 | SocialBit Nudge Study: Assessing the Feasibility of a Digital Health Tool to Encourage Social Interaction Post Stroke | Selma Osei, Molly Manning, Grace Cooke, Olivia Berglund, Oluwamayomikun Adeboye, Samuel Tate, Vrushali Dhongade, Ross Zafonte, Matthias R. Mehl, Min Shin, Amar Dhand | Brigham and Women's Hospital, Department of Neurology- Division of Cerebrovascular and Stroke, University of North Carolina Charlotte College of Computing and Informatics, University of Arizona College of Science- Department of Psychology, Harvard Medical School | Highlight an ongoing collaboration |
34 | RadGame: An AI-Powered Platform for Radiology Education | Mohammed Baharoon, Siavash Raissi, John S. Jun, Thibault Heintz, Mahmoud Alabbad, Ali Alburkani, Sungeun Kim, Mohammed F. Mohammed, Yevgeniy R. Semenov, Kun-Hsing Yu, Abdulrhman Aljouie, Hassan AlOmaish, Adam Rodman, Pranav Rajpurkar | Harvard Medical School, Mass General Brigham, Maastricht University, King Abdulaziz Medical City, Seoul National University Hospital, King Faisal Specialist Hospital & Research Center, Massachusetts General Hospital, King Abdullah International Medical Research Center, King Saud Bin Abdulaziz University for Health Sciences, Beth Israel Deaconess Medical Center | Highlight an ongoing collaboration |
35 | ☆ Chain-of-Thought Reasoning Fails in Clinical Text Processing | Kevin Xie, Jiageng Wu, Kueiyu Joshua Lin, Jie Yang | Massachusetts Institute of Technology, Brigham and Women’s Hospital and Harvard Medical School, Brigham and Women’s Hospital and Massachusetts General Hospital, Brigham and Women’s Hospital and Harvard Medical School | Highlight an ongoing collaboration |
36 | When AI Guides the Scalpel: Ethical, Legal, and Operational Implications of AI-Guided CRISPR in Clinical Care | Mifrah Hayath | Harvard Medical School, Johns Hopkins University, University of California, Berkeley | Looking for a clinical collaborator |
37 | Alleviating Care Team Burden with Context-Aware, Personalized Clinical Patient Summaries | Svetlana Makarova, MBA, Yogesh Parte, PhD, Anthonio Forte, MD PhD | Mayo Clinic, Rochester, MN (for all authors) | Looking for a clinical collaborator |
38 | Agentic AI-driven abstractive EHR summarization with human-in-the-loop triage can increase referral efficiency and surgical yield | Advait Patil MS, Wendy Sun BS, Jeffrey He MS, Omar Arnaout MD, Benjamin Johnston MD PhD, Kevin Huang MD | Department of Neurosurgery, Mass General Brigham, Harvard Medical School | Highlight an ongoing collaboration |
39 | Precision Grounding: Augmenting Large Language Models with Evidence-Based Databases for Trustworthy Genetic Variant Summarization | Xinsong Du, Anna Nagy, Michael F. Oates, Yifei Wang, Xinyi Wang, Joseph M. Plasek, Samuel J. Aronson, Matthew S. Lebo, Li Zhou | MGB, MGB, MGB, MGB, MGB, MGB, MGB, MGB, MGB | Looking for a clinical collaborator |
40 | Developing a Scalable Approach to Literature Reviews with ChatGPT in Heart Failure and Chronic Obstructive Pulmonary Disease | Omar Nafaa, Ania Syrowatka, Carrie Wade, Christine Iannaccone, Michelle Frits, Lynn Volk, David Bates | Clinical and Quality Analysis, Mass General Brigham, Somerville, MA, United States,
Division of General Internal Medicine, Brigham and Women's Hospital, Boston, MA, United States,
Countway Library, Harvard Medical School, Boston, Massachusetts, United States,
Harvard Medical School, Boston, MA, United States,
Harvard TH Chan School of Public Health, Boston, MA, United States | Highlight an ongoing collaboration |
41 | ☆ BRIDGE: Benchmarking Large Language Models for Understanding Global Real-world Clinical Practice Text | Jiageng Wu1, Bowen Gu1, Ren Zhou2, Kevin Xie3, Doug Snyder4, Yixing Jiang6,
Valentina Carducci4, Richard Wyss1, Rishi J Desai1, Emily Alsentzer6, Leo Anthony Celi3, Adam Rodman7, Sebastian Schneeweiss1, Jonathan H. Chen5, Santiago Romero-Brufau4, Kueiyu Joshua Lin1 and Jie Yang1 | 1 Brigham and Women’s Hospital,
2 University of Illinois Urbana-Champaign,
3 Massachusetts Institute of Technology,
4 Mayo Clinic,
5 Harvard University,
6 Stanford University,
7 Beth Israel Deaconess Medical Center | Highlight an ongoing collaboration |
42 | CLIN-SUMM: Temporal Summarization of Longitudinal Clinical Notes
| Tristan Naumann, Alaleh Azhir, Samuel Friedman, Danielle Pace, Arash Nargesi, Christopher Anderson, Steven Atlas, Judy Hung, Mahnaz Maddah | Microsoft Research Health Futures, Massachusetts General Hospital, Data Sciences Platform - Broad Institute of MIT and Harvard, Massachusetts General Brigham | Highlight an ongoing collaboration |
43 | ClinicalFlow: Multi-Agent Orchestration for Near Real-Time Clinical Decision Support | P. Fard, C. M. Cagan, J. Tian, S. N. Murphy, H. Estiri | Massachusetts General Hospital | Looking for a clinical collaborator |
44 | Give Me The One-liner: Extracting Short Patient Summaries
from Radiation Oncology Notes using Structured Intermediates | Thibault Heintz, Suraj Pai, Hugo Aerts, Raymond Mak | Mass General Brigham, Maastricht University, Harvard Medical School | Looking for a clinical collaborator |
45 | Multi–Cancer Risk Prediction Using Transformers Trained on Large-Scale Longitudinal EHR Data | Asif Khan, Daniel Ritter, Chunlei Zheng, Moshir Harsh, Duncan Forster, Sophie Sharum, Debora S. Marks, Nathanael R. Fillmore, Chris Sander
| Harvard Medical School, VA Boston Healthcare System, Cornell University, Boston University School of Medicine, Broad Institute of MIT and Harvard, CEDAR Center Knight Cancer Institute OHSU, DF/HCC Cancer Center, Ludwig Center at Harvard | Looking for a clinical collaborator |
46 | Zero-Shot LLMs vs. a Validated ML Classifier for Neuroinfectious Disease Detection from EHR Notes | Karan Singh (1, 2), Arjun Singh (1, 2), Carson Quinn (1, 2, 3), G Kyle Harrold (1, 2, 3), M Brandon Westover (1, 2, 4), Bragi Sveinsson (2, 5), Shibani S Mukerji (1, 2) | (1) Department of Neurology, Massachusetts General Hospital, Boston, MA, United States, (2) Harvard Medical School, Boston, MA, United States, (3) Department of Neurology, Brigham and Women’s Hospital, Boston, MA, United States, (4) Department of Neurology, Beth Israel Deaconess Medical Center, Boston, MA, United States, (5) Department of Radiology, Massachusetts General Hospital, Boston, MA, United States | Highlight an ongoing collaboration |
47 | Evaluation of Type 2 Diabetes Mellitus Phenotyping Using Optimized Retrieval Augmented Generation (RAG) Configurations across Seven Embedding Models | Heekyong Park, Martin Rees, Nils Kruger, Kenshiro Fuse, Victor M. Castro, Vivian Gainer, Nich Wattanasin, Barbara Benoit, Kavishwar B. Wagholikar, Shawn N. Murphy | Mass General Brigham, BWH, Harvard Medical School, Havard T.H. Chan School of Public Health, MGH | Highlight an ongoing collaboration |
48 | Examining the Utility of Large Language Models in Clinical Decision Support | Mengdi Chai, Ali R. Zomorrodi | Department of Biostatistics Harvard School of Public Health, Mucosal Immunology and Biology Research Center Department of Pediatrics Massachusetts General Hospital, Harvard Medical School | Highlight an ongoing collaboration |
49 | ☆ Tiered Agentic Oversight: A Hierarchical Multi-Agent System for Safety in Health AI | Hyewon Jeong, Chanwoo Park, Eugene Park, Haipeng Zhang, Xin Liu, Hyeonhoon Lee, Daniel McDuff, Marzyeh Ghassemi, Cynthia Breazeal, Samir Tulebaev, Hae Won Park | MIT, MIT, MIT, Harvard Medical School, Google, Seoul National University Hospital, Google, MIT, MIT, Harvard Medical School, MIT | Looking for a clinical collaborator |
50 | Evaluating the Accuracy and Usability of AI-Generated Drug Administration Guidelines from Standard Drug References
New title:
A Pilot Study on AI-Assisted Development of Hospital-Specific Drug Administration Guidelines Using Prompt Engineering | Donaciano Dominguez, Kevin Zinchuk, Rosy Issa | Brigham and Women's Hospital | Highlight an ongoing collaboration |
51 | MediSimplify: A novel AI-based approach for promoting health literacy in primary care | Stephen Freeman MD MPH, Risa Komatsu BA, Sirisha Yellayi, DO | Resident Physician (PGY-1) UPenn Department of Family Medicine and Community Health, Harvard Business School, Northwestern University Feinberg School of Medicine | Highlight an ongoing collaboration |
52 | Large Language Models in Multilingual Patient Education for Gender-Affirming Surgery | Raunak Goyal, MBBS, Jade Tso, BS, Shivangi Saha, MBBS, MS, MCh, Anurag Jain, MBBS, MS, MCh, Gabriel Alfonso Del Corral, MD, Maneesh Singhal, MBBS, MS, MCh, Kristen Rezak, MD, Kavitha Ranganathan, MD, Ashit Patel, MBChB. |
Brigham and Women's Hospital, Boston, MA, USA, Harvard School Of Medicine, Program In Global Surgery And Social Change, Boston, MA, USA, The All India Institute Of Medical Sciences, New Delhi, India, Deen Dayal Upadhyay Hospital, New Delhi, India, MedStar Georgetown University Hospital, Washington DC, WA, USA, Duke University, Durham, NC, USA. | Highlight an ongoing collaboration |
53 | Improving Outpatient Workflows through Structured History Collection with Large Language Models | Sophie Steinbuch 1,2, Luka de Vos-Hillebrand 2, Iris Wu 3,6,*, Hannah Steinbuch 4, Jacob Kuba 1, Avanish Ranjan 5, Charles C. Hardin 6, Sonu Subudhi 1 | 1Edwin L. Steele Laboratories, Department of Radiation Oncology, Massachusetts General Hospital, Boston, United States, 2Department of Dermatology and Allergology, University Hospital Bonn (UKB), Germany (Current affiliation), 3Harvard-MIT Health Sciences and Technology Program, Harvard Medical School, Boston, United States, 4University Hospital Zurich, Switzerland, 5Adobe, Boston, United States, 6Medicine-Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, United States, *Presenting Author
| Looking for a clinical collaborator |
54 | ☆ An AI-Driven Digital Twin for Multimodal Prediction and Personalized Intervention in Cognitive Aging | Yu Liu, Keming Yan, Siying Ma, Hao Deng, Jian Kong | Department of Psychiatry, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA | Looking for a clinical collaborator |
55 | An Agentic Workflow for Clinical Detection of Cognitive Concerns Using Large Language Models | Pedram Fard, Cameron Cagan, Neguine Rezaii, Rebeka Bustamante Rocha, Liqin Wang, Valdery Moura Junior, Deborah Blacker, Jennifer S. Haas, Chirag Patel, Mark W. Albers, Shawn N. Murphy, Lidia M.V.R. Moura, Hossein Estiri | Massachusetts General Hospital, Massachusetts General Hospital, Massachusetts General Hospital, Massachusetts General Hospital, Brigham and Women's Hospital, Massachusetts General Hospital, Massachusetts General Hospital, Massachusetts General Hospital, Harvard Medical School, Massachusetts General Hospital, Massachusetts General Hospital, Massachusetts General Hospital, Massachusetts General Hospital | Highlight an ongoing collaboration |
56 | Validation of a Large Language Model Enhanced Frailty Index | Joseph M. Plasek, PhD1,*, Marie Leeson1,*, Julie M. Fiskio1, John Lundstedt1, Natalie C. Ernecoff2, Savanna Plombon1, Shoshana Streiter1, Stephanie Mueller1, Stuart Lipsitz1, Julia V. Loewenthal, MD3, Anuj K. Dalal, MD1,#, Li Zhou, MD, PhD1,# | 1Division of General Internal Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States; 2RAND Corporation, Santa Monica, CA, United States. 3Division of Palliative Care and Geriatric Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States | Highlight an ongoing collaboration |
57 | Enhancing Brain Health Through AI: A Low-Variance Approach to Cognitive Impairment: | Harsh Bhasin, Manish Sharma, Nishant Kumar | Bennett University, Northeastern University, Sequoia Insilico Pvt Ltd | Looking for a clinical collaborator |
58 | Empowering Health in Aging Populations: A Multimodal Vulnerability Tool for Frail Patients | Joanna G. Kondylis, Houman Javedan, Dimitris Bertsimas, Bharti Khurana | Operations Research Center Massachusetts Institute of Technology, Division of Aging at Brigham and Women’s Hospital, Operations Research Center Massachusetts Institute of Technology, Trauma Imaging Research and Innovation Center Brigham and Women’s Hospital | Highlight an ongoing collaboration |
59 | ☆ FaceTTD: Time-to-Death from Imageomic Facial Time Series for Rapid Mortality Risk Profiling and Longevity Interventions | Saleem A. Al Dajani ¹²³*, Dmitrii Glubokov ², Alexander Tyshkovskiy ², John R. Williams ¹, Jesse Poganik ², Omar Abudayyeh ², Jonathan Gootenberg ³, Vadim N. Gladyshev ² | ¹ Department of Civil and Environmental Engineering (CEE), Massachusetts Institute of Technology (MIT), ² Brigham and Women’s Hospital (BWH), Mass General Brigham (MGB), Harvard Medical School, ³ Beth Israel Deaconess Medical Center (BIDMC), Beth Israel Lahey Health (BILH), Harvard Medical School (HMS) | Highlight an ongoing collaboration |
60 | ☆ BeatAI: Multimodal Transformer Platform to Predict Postoperative Atrial Fibrillation Using Continuous ECG and Wearable Signals | Negin Maddah 1and5, Amin Ramezani 1, Melina Heine 2, Ali Homaei 1, Leonard Simeth 2, Laura Mazuera 2, Asishana Osho 3, Jochen D. Muehlschlegel 4, Jakob Wollborn 2, Farhad R Nezami 1 | 1 Department of Surgery, Brigham and Women Hospital, Harvard Medical School, Boston, MA,
2 Department of Anesthesiology, Brigham and Women’s Hospital, Mass General Brigham, Harvard Medical School, Boston, MA, USA,
3 Division of Cardiac Surgery, Department of Surgery, Massachusetts General Hospital, Mass General Brigham, Harvard Medical School, Boston, MA, USA,
4 Department of Anesthesiology and Critical Care Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD, USA,
5 College of Engineering, Northeastern University, Boston, MA | Highlight an ongoing collaboration |
61 | Closed-Loop Acoustic Stimulation of Slow-Wave Sleep via Radio-Wave based Contactless Monitoring | Chao Li, Peng Cao, Rumen Hristov, Dina Katabi | Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA, Emerald Innovations Inc, Cambridge, MA, USA | Looking for a clinical collaborator |
62 | ☆ Representation learning on longitudinal health trajectories using LLMs for disease risk assessment | Moshir Harsh, Asif Khan, Duncan Forster, Daniel Ritter, Chunlei Zheng, Sophie Sharum, Artem Gazizov, Debora S. Marks, Nathanael R. Fillmore, Chris Sander | Harvard Medical School, Boston, MA, USA.
VA Boston Healthcare System, Boston, MA, USA.
Department of Computer Science, Cornell University, NY, USA.
Boston University School of Medicine, Boston, MA, USA.
Broad Institute of MIT and Harvard, Boston, MA, USA.
CEDAR Center, Knight Cancer Institute, OHSU, Portland, OR, USA.
DF/HCC Cancer Center, Boston, MA, USA.
Ludwig Center at Harvard, Boston, MA, USA.
Max Planck Institute of Molecular Physiology, Dortmund, Germany | Looking for a clinical collaborator |
63 | ☆ Data-Driven Memory Self-Awareness Phenotypes Predict Alzheimer’s Disease Progression | Nicholas Enbar-Salo, Phebe Palmer, Catherine Munro, Mark Dubbelman, Anna Aaronson, Rachel Nosheny, Jennifer Gatchel, Gad A. Marshall, Patrizia Vannini, for the Alzheimer’s Disease Neuroimaging Initiative | Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA, Department of Neurology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA, Department of Behavioral Neuroscience, Boston University CTE Center, Boston, MA, USA, Northern California Institute for Research and Education (NCIRE), San Francisco, USA, Department of Radiology and Biomedical Imaging, University of California, San Francisco, USA, Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, USA, Department of Psychiatry, McLean Hospital, Harvard Medical School, Belmont, MA, USA | Looking for a clinical collaborator |
64 | ☆ Exploring TabNet-Based Predictive Models for Fair and Transparent Anxiety Diagnosis | Nicholas Murray,
Sandra Meier | Dalhousie University, Dalhousie University | Looking for a clinical collaborator |
65 | ☆ Longitudinal Temporal-Aware Neural Network Architecture to Identify White Matter
Injury Patterns of Cerebral Amyloid Angiopathy | Nazila Loghmani, Aaron Schultz, Hyun-Sik Yang, Michael Properzi, Rachel Buckley, Steven
Greenberg, Reisa Sperling, Jasmeer Chhatwal, Zahra Shirzadi | Department of Neurology, Mass General Brigham | Highlight an ongoing collaboration |
66 | Latent Class Growth Analysis Reveals Distinct Heterogeneous Trajectories of Functional Cognitive Independence Following Traumatic Brain Injury | Evan D. Feigel, Ph.D. 1, Charlotte B. Luster, B.A.1, Brenna Finegan, M.S. 1, Michael Mastrodicasa, B.S.1, Maëlle-Marie Troadec, M.A.2, Ben Olsen, B.S.2, David Guo2, Jacob Silterra, M.A.2, Ignacio Fuentes, M.B.A.2, Regina Barzilay, Ph.D.2,3, Daniel H. Daneshvar, M.D., Ph.D.1,4,5 | 1Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Boston, MA; 2Massachusetts Institute of Technology Abdul Latif Jameel Clinic for Machine Learning in Health, Boston, MA; 3Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Boston, MA; 4Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, MA; 5Department of Physical Medicine and Rehabilitation, Massachusetts General Hospital, Boston, MA | Highlight an ongoing collaboration |
67 | SeizNet: A Multi-Modal AI-based Seizure Prediction System | Avaneeth Anil, Ali Saeizadeh, Douglas Schonholtz, Joseph S Neimat, Pedram Johari, Tommaso Melodia | Northeastern University, Northeastern University, Northeastern University, University of Louisville, Northeastern University, Northeastern University, | Highlight an ongoing collaboration |
68 | ☆ Optimizing Deep Brain Stimulation to Symptom-Specific Connectomic Targets | Savir Madan, Calvin Howard, Nanditha Rajamani, Ella Gray Settle, Martin Reich, Andreas Horn, Michael D. Fox | 1 - Center for Brain Circuit Therapeutics, Department of Neurology, Mass General Brigham, Harvard Medical School, Boston, MA, USA, 2 - Klinik für Neurologie mit Experimenteller Neurologie, Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany, 3 - Clinician Investigator Program, Postgraduate Medical Education, University of Manitoba, Winnipeg, MB, Canada, 4 - Department of Neurology, University Clinic of Würzburg, Josef-Schneider-Straße 11, 97080 Würzburg, Germany | Looking for a clinical collaborator |
69 | Parrots Medical AI: Cognitive and Clinical Intelligence for Proactive Neurodegenerative Care | David Hojah | MIT, Harvard | Looking for a clinical collaborator |
70 | Deep Learning-Based Retinal Texture Features Analysis in Leber's Hereditary Optic Neuropathy | Amin Ramezani, Danielle A. Gauthier, Shenoda Abd Elmaseh, Alfredo A. Sadun | Research Fellow, Cardiac Division, Department of Surgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, Research Fellow, Neuro-ophthalmology, UCLA Department of Ophthalmology, Doheny Eye Institute, Pasadena, CA, Post-Doc Research Fellow, Neuro-ophthalmology, UCLA Department of Ophthalmology, Doheny Eye Institute, Pasadena, CA, Professor, Neuro-ophthalmology, UCLA Department of Ophthalmology, Doheny Eye Institute, Pasadena, CA | Highlight an ongoing collaboration |
71 | Leveraging Artificial Intelligence to detect Signatures Predicting Early Cerebral radiation necrosis via Tracking multimodal MRI Radiomics Evolution: AI-SPECTRE | Hesham Elhalawani, Lubna Hammoudeh, Joesph Meyers, Kevin Liu, Daphne Haas-Kogan, Ayal Aizer | Brigham and Women's Hospital | Looking for a clinical collaborator |
72 | Explainable and Safe AI for Predicting Post-Treatment Serum Sodium in Patients with Hyponatremia | Ghanahshyam B. Kshirsagar, Robert Hayden, Prasheen Shah, Christopher El Mouhayyar, Sahir Kalim, Sagar Nigwekar, Raimond Winslow, Qingchu Jin | The Roux Institute Northeastern University Portland, Maine Medical Center Portland, Maine Medical Center Portland, Massachusetts General Hospital and Harvard Medical School Boston, Massachusetts General Hospital and Harvard Medical School Boston, Massachusetts General Hospital and Harvard Medical School Boston, The Roux Institute Northeastern University Portland, The Roux Institute Northeastern University Portland | Highlight an ongoing collaboration |
73 | Leveraging Multimodal Machine Learning for Accurate Risk Identification of Intimate Partner Violence | Jiayi Gu, Kimberly Villalobos Carballo, Yu Ma, Dimitris Bertsimas, Bharti Khurana | MIT, Previously MIT now NYU, Previously MIT now University of Wisconsin, MIT, Brigham and Women's Hospital | Highlight an ongoing collaboration |
74 | ☆ Temporal Learning with Dynamic Range (TLDR): Enhancing Outcome Prediction in Recurrent Exposure/Treatment Scenarios in Electronic Health Records | Jingya Cheng, Jonas Hügel, Hossein Estiri, Jeffrey G. Klann, Alaleh Azhir, Shawn N. Murphy | Massachusetts General Hospital, University Medical Center Göttingen & University of Göttingenn, Brigham and Women's Hospital | Looking for a clinical collaborator |
75 | ☆ Predicting Recovery Enhanced by Data-Driven Insights into Clinical Trajectories (PREDDICT): Protocol of a Multi-Institutional Research Collaboration to Identify Recovery Trajectories | Charlotte B. Luster, Evan D. Feigel, Maëlle-Marie Troadec, Ben Olsen, David Guo, Jacob Silterra, Shonali G. Gaudino, Ignacio Fuentes, Regina Barzilay, Daniel H. Daneshvar | Department of Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Boston, MA, Massachusetts Institute of Technology Abdul Latif Jameel Clinic for Machine Learning in Health, Boston, MA, Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Boston, MA, Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, MA, Department of Physical Medicine and Rehabilitation, Massachusetts General Hospital, Boston, MA | Highlight an ongoing collaboration |
76 | Using Machine Learning to Diagnose and Develop Compensation Strategies for Hidden Hearing Loss | Ahsan Cheema; Sunil Puria | Harvard University Speech and Hearing Bioscience and Technology Program, Massachusetts Eye and Ear Infirmary, Massachusetts General Brigham | Looking for a clinical collaborator |
77 | Leveraging Middle-Ear Input Impedance for Diagnosis of Conductive Pathologies | Anna Frazier Kamau, Gabrielle R. Merchant, Hideko Heidi Nakajima, Stephen T. Neely
| Harvard University / Mass. Eye and Ear, Boys Town National Research Hospital, Harvard University / Mass. Eye and Ear, Boys Town National Research Hospital | Highlight an ongoing collaboration |
78 | Decipher-AI: an algorithm to detect cognitive impairment in EHR | Yingnan He, Colin G. Magdamo, Tanish Tyagi, Yu Leng, Shibani S. Mukerji, Rebecca L. Gillani, Amy L. Newhouse, Karan Singh, M. Brandon Westover, Ana-Maria Vranceanu, Christine S. Ritchie, Deborah Blacker, John R. Dickson, Sudeshna Das | Massachusetts General Hospital,Harvard Medical School,Beth Israel Deaconess Medical Center,Harvard T.H. Chan School of Public Health
| Looking for a clinical collaborator |
79 | 3D Digital Reconstruction of Tissue Architecture with Virtual Tissue | Yinghan (Kevin) Wu1, Haochun Huang1, Ke Zhang1,2, Jian Shu1,2 | 1Cutaneous Biology Research Center, Harvard Medical School, Boston, MA, USA
2Broad Institute of MIT and Harvard, Cambridge, MA, USA | Looking for a clinical collaborator |
80 | MultiMorph: On-demand Atlas Construction | Mazdak Abulnaga, Andrew Hoopes, Neel Dey, Malte Hoffmann, Bruce Fischl, John Guttag, Adrian Dalca | MIT CSAIL, MGH, Harvard Medical School | Looking for a clinical collaborator |
81 | ☆ A foundation model for generalized brain MRI analysis | Divyanshu Tak,Biniam A. Garomsa,Anna Zapaishchykova,Tafadzwa L. Chaunzwa,Juan Carlos Climent Pardo,Zezhong Ye,John Zielke,Yashwanth Ravipati,Suraj Pai,Sri Vajapeyam, Maryam Mahootiha,Mitchell Parker,Luke R. G. Pike,Ceilidh Smith,Ariana M. Familiar,Kevin X. Liu,Sanjay Prabhu,Omar Arnaout,Pratiti Bandopadhayay,Ali Nabavizadeh,Sabine Mueller,Hugo JWL Aerts,Raymond Y. Huang,Tina Y. Poussaint,Benjamin H. Kann
| Artificial Intelligence in Medicine (AIM) Program, Mass General Brigham, Harvard Medical School ,Department of Radiation Oncology- Dana-Farber Cancer Institute and Brigham and Women’s Hospital,Radiology and Nuclear Medicine, CARIM & GROW- Maastricht University,Boston Children's Hospital,Dana-Farber Cancer Institute, Michigan State University, Children’s Hospital of Philadelphia, University of Pennsylvania, Department of Neurology-Neurosurgery and Pediatrics, University of California-San Francisco,Memorial Sloan Kettering Cancer Center,Department of Radiology-Brigham and Women’s Hospital | Highlight an ongoing collaboration |
82 | Surgical Foundation Model Leveraging Compression and Entropy Maximization for Image-Guided Surgical Assistance | Lianhao Yin, Ozanan Meireles, Guy Rosman, Daniela Rus | CSAIL MIT, Duke University, Duke University, CSAIL MIT | Looking for a clinical collaborator |
83 | ☆ Rapid Volumetric Reconstruction of Fetal Brain MRI | Margherita Firenze, Sean I. Young, Clinton Wang, Elfar Adalsteinsson, Kiho Im, Hyukjin Yun, P. Ellen Grant, Polina Golland | MIT, Massachusetts General Hospital and
Harvard Medical School, MIT, MIT, Boston Children’s Hospital and Harvard Medical School, Boston Children’s Hospital, Boston Children’s Hospital and Harvard Medical School, MIT | Highlight an ongoing collaboration |
84 | Generative AI for Cross-Modality Translation: Synthesizing Photon-Counting CT from MRI | Aurora Rofena, Xingxin He, Fang Liu | Athinoula A. Martinos Center for Biomedical Imaging, Harvard Medical School, Boston, MA, United States, Department of Radiology, Massachusetts General Hospital, Boston, MA, United States | Highlight an ongoing collaboration |
85 | ☆ OmniMRI: A Unified Vision-Language Foundation Model for Generalist MRI Interpretation | Xingxin He1,2, Aurora Rofena3, Ruimin Feng1,2, Haozhe Liao1,, Zhaoye Zhou2, Albert Jang1,2, Fang Liu1,2 | 1 Athinoula A. Martinos Center for Biomedical Imaging, Harvard Medical School,
Boston, MA, United States; 2 Department of Radiology, Massachusetts General Hospital, Boston, MA, United States; 3 Unit of Computer Systems and Bioinformatics, Department of Engineering, University Campus Bio-Medico of Rome, Rome, Italy; | Highlight an ongoing collaboration |
86 | CREST: A Risk-Aware Framework for Evaluating Vision-Language Models in Radiology Report Generation | Peter Hou, Pengyu Hong, Li Zhou | Brigham and Women's Hospital/Harvard Medical School, Brandeis University | Highlight an ongoing collaboration |
87 | A statistical framework for case-control analysis of H&E whole slide images | Tanya Roysam [1,2,4,5], Yakir Reshef MD, PhD [1,2,4,5], Soumya Raychaudhuri MD, PhD [1,2,3,4,5] | 1 Center for Data Sciences, Brigham and Women’s Hospital, Boston, MA, USA, 2 Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA, 3 Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA, 4 Broad Institute of MIT and Harvard, Cambridge, MA, USA, 5 Division of Genetics, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| Highlight an ongoing collaboration |
88 | Image Resolution Affects The Performance Of Deep Learning Algorithms In Detecting Calcaneus Fractures On X-ray | Nicholas J. Yee1,4,5,6, Atta Taseh1, Samir Ghandour1, Mansur Halai3,4, Cari Whyne4,5,6, Christopher W. DiGiovanni1,2, John Y. Kwon1,2, Soheil Ashkani-Esfahani1,2 | 1Foot & Ankle Research and Innovation Lab, Department of Orthopaedic Surgery, Mass General Brigham, Harvard Medical School, Boston, MA, 2Foot and Ankle Division, Department of Orthopaedic Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, 3Division of Orthopaedic Surgery, St. Michael's Hospital, University of Toronto, Toronto, ON, 4Division of Orthopaedic Surgery, Department of Surgery, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, 5Institute of Biomedical Engineering, Faculty of Applied Science and Engineering, University of Toronto, Toronto, ON, 6Orthopaedic Biomechanics Lab, Holland Bone and Joint Program, Sunnybrook Research Institute, University of Toronto, Toronto, ON | Highlight an ongoing collaboration |
89 | RoentMod: A Synthetic Chest X-Ray Modification Model to Identify Image Interpretation Model Shortcuts | Lauren H. Cooke, Matthias Jung, Jan M. Brendel, Nora M. Kerkovits, Borek Foldyna, Michael T. Lu, Vineet K. Raghu | Massachusetts General Hospital, Massachusetts General Hospital, Massachusetts General Hospital, Massachusetts General Hospital, Massachusetts General Hospital, Massachusetts General Hospital, Massachusetts General Hospital | Highlight an ongoing collaboration |
90 | Quantifying the Natural Evolution of Lung Nodules in NLST | Evan Rubel, Peter Mikhael, Regina Barzilay | MIT | Highlight an ongoing collaboration |
91 | ☆ ProCAncer-I: A comparison of federated learning
techniques on multi-institutional prostate cancer data | Mason C. Cleveland, Dagoberto Pulido Arias, Jay Patel, Zhewei Wang, Yu Leng, Tiago Filipe Goncalves, Maggie Yao, Albert E. Kim, Daniele Regge, Kostas Marias, Manolis Tsiknakis, Henkjan Huisman, Nikolaos Papanikolaou, The ProCAncer-I Consortium, Christopher P. Bridge, Jayashree Kalpathy-Cramer | Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, University of Colorado School of Medicine, Radboud University Medical Center, Champalimaud Foundation, Foundation for Research and Technology - Hellas | Highlight an ongoing collaboration |
92 | ☆ Stigmatizing Language in Clinical Documentation Influences Large Language Models’ Patient Perception and Decision Making | Yixuan Huang, Ali R. Zomorrodi | Massachusetts General Hospital,
Massachusetts General Hospital, Harvard Medical School, Broad Institute of MIT and Harvard | Looking for a clinical collaborator |
93 | Patient perspectives on artificial intelligence and remote video interpreter services in surgical care: A mixed-methods study | Sarah S. Zahakos, PhD, MPH (1,2,11) [1st co-author], Maria Alejandra Montoya Rubiano, MD (1) [1st co-author], Jesus Mejia, BS (1,3) Daysi Martinez (1), Abraham Alatorre, BS (4) Alyssa N. Jones, MPH,1 Michelle Ramirez-Martinez (1,5), Meyly Santiago (6), Rachel E. Murphy, MPH (1), Olivia F. Lynch, MD (1), Amanda Reich, PhD, MPH (1), Brittany M. Dacier, MD, MPH (1,7), Regan W. Bergmark, MD, MPH (1,8), Alicia Fernandez, MD (9), Kevin B. Johnson MD, MS (10), David W. Bates, MD, MSc (2,11), Gezzer Ortega, MD, MPH (1,12) | 1. Center for Surgery and Public Health, Department of Surgery, Mass General Brigham, Boston, MA, 2. Department of Health Policy and Management, Harvard T.H. Chan School of Public Health, 3.Tufts University School of Medicine, Boston, MA, 4. Harvard Medical School, Boston, MA, 5. Harvard College, Boston, MA, 6. Brooklyn Technical High School, New York, NY, 7. Department of Surgery, Dartmouth-Hitchcock Medical Center, Lebanon, NH, 8. Department of Otolaryngology-Head and Neck Surgery, Harvard Medical School, Boston, MA, 9.Department of Medicine, University of California San Francisco, San Francisco, CA
| Looking for a clinical collaborator |
94 | Quantifying the Operational Safety Landscape of Clinical AI Using the Safety-aware ROC Curve Framework | Young-Tak Kim, Hyunji Kim, Manisha Bahl, Michael H. Lev, Ramon Gilberto González, Michael S. Gee, Synho Do | Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA | Highlight an ongoing collaboration |
95 | Flexible, Curated, Personalized Patient Data Views | Yogesh Parte, Svetlana Makarova, Kelly Howard, Antonio J Forte | Mayo Clinic Rochester MN, Mayo Clinic Rochester MN, Mayo Clinic Rochester MN | Looking for a clinical collaborator |
95 | ☆ Fine-Grained Food Processing Annotation across International Food Databases with BERT-Based Modeling | Gordana Ispirova, Bonnie Patchen, Dawn L. DeMeo, Giulia Menichetti | Channing Division of Network Medicine, Brigham and Women's Hospital Harvard Medical School Boston MA USA, Harvard Data Science Initiative Boston MA USA
| Looking for a clinical collaborator |
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