Language Models are Surprisingly Fragile to Drug Names in Biomedical Benchmarks. - Jack Gallifant; Shan Chen 004; Pedro Moreira; Nikolaj Munch; Mingye Gao; Jackson Pond; Leo Anthony Celi; Hugo J. W. L. Aerts; Thomas Hartvigsen; Danielle S. Bitterman (EMNLP (Findings), 2024)

Seeing Beyond Borders: Evaluating LLMs in Multilingual Ophthalmological Question Answering. - David S. Restrepo; Luis Filipe Nakayama; Robyn Gayle Dychiao; Chenwei Wu 006; Liam G. McCoy; Jose Carlo Artiaga; Marisa Cobanaj; João Matos; Jack Gallifant; Danielle S. Bitterman; Vincenz Ferrer; Yindalon Aphinyanaphongs; et al. (ICHI, 2024)

EHRmonize: A Framework for Medical Concept Abstraction from Electronic Health Records using Large Language Models. - João Matos; Jack Gallifant; Jian Pei 001; An-Kwok Ian Wong (AMAI@MICCAI, 2024)

Cross-Care: Assessing the Healthcare Implications of Pre-training Data on Language Model Bias. - Shan Chen 004; Jack Gallifant; Mingye Gao; Pedro Moreira; Nikolaj Munch; Ajay Muthukkumar; Arvind Rajan; Jaya Kolluri; Amelia Fiske; Janna Hastings; Hugo J. W. L. Aerts; Brian Anthony; et al. (NeurIPS, 2024)

A Closer Look at AUROC and AUPRC under Class Imbalance. - Matthew B. A. McDermott; Haoran Zhang 003; Lasse Hyldig Hansen; Giovanni Angelotti; Jack Gallifant (NeurIPS, 2024)

Improving Clinical NLP Performance through Language Model-Generated Synthetic Clinical Data. - Shan Chen 004; Jack Gallifant; Marco Guevara; Yanjun Gao; Majid Afshar; Timothy Miller 002; Dmitriy Dligach; Danielle S. Bitterman (CoRR, 2024)

Seeds of Stereotypes: A Large-Scale Textual Analysis of Race and Gender Associations with Diseases in Online Sources. - Lasse Hyldig Hansen; Nikolaj Andersen; Jack Gallifant; Liam G. McCoy; James K. Stone; Nura Izath; Marcela Aguirre-Jerez; Danielle S. Bitterman; Judy Gichoya; Leo Anthony Celi (CoRR, 2024)

Analyzing Diversity in Healthcare LLM Research: A Scientometric Perspective. - David S. Restrepo; Chenwei Wu 006; Constanza Vásquez-Venegas; João Matos; Jack Gallifant; Luis Filipe (CoRR, 2024)

AIPatient: Simulating Patients with EHRs and LLM Powered Agentic Workflow. - Huizi Yu; Jiayan Zhou; Lingyao Li; Shan Chen 004; Jack Gallifant; Anye Shi; Xiang Li; Wenyue Hua; Mingyu Jin; Guang Chen; Yang Zhou; Zhao Li; et al. (CoRR, 2024)

Wait, but Tylenol is Acetaminophen... Investigating and Improving Language Models' Ability to Resist Requests for Misinformation. - Shan Chen 004; Mingye Gao; Kuleen Sasse; Thomas Hartvigsen; Brian Anthony; Lizhou Fan; Hugo J. W. L. Aerts; Jack Gallifant; Danielle S. Bitterman (CoRR, 2024)

The use of large language models to enhance cancer clinical trial educational materials. - Mingye Gao; Aman Varshney; Shan Chen 004; Vikram Goddla; Jack Gallifant; Patrick Doyle; Claire Novack; Maeve Dillon-Martin; Teresia Perkins; Xinrong Correia; Erik P. Duhaime; Howard Isenstein; et al. (CoRR, 2024)

Participant flow diagrams for health equity in AI. - Jacob G. Ellen; João Matos; Martin Viola; Jack Gallifant; Justin Quion; Leo Anthony Celi; Nebal S. Abu Hussein (J. Biomed. Informatics, 2024)

Ethical debates amidst flawed healthcare artificial intelligence metrics. - Jack Gallifant; Danielle S. Bitterman; Leo Anthony Celi; Judy W. Gichoya; João Matos; Liam G. McCoy; Robin L. Pierce (npj Digit. Medicine, 2024)

Multi-OphthaLingua: A Multilingual Benchmark for Assessing and Debiasing LLM Ophthalmological QA in LMICs. - David S. Restrepo; Chenwei Wu 006; Zhengxu Tang; Zitao Shuai; Thao Nguyen Minh Phan; Jun-En Ding; Cong-Tinh Dao; Jack Gallifant; Robyn Gayle Dychiao; Jose Carlo Artiaga; André Hiroshi Bando; Carolina Pelegrini Barbosa Gracitelli; et al. (AAAI, 2025)

ACES: Automatic Cohort Extraction System for Event-Stream Datasets. - Justin Xu; Jack Gallifant; Alistair E. W. Johnson; Matthew B. A. McDermott (ICLR, 2025)

WorldMedQA-V: a multilingual, multimodal medical examination dataset for multimodal language models evaluation. - João Matos; Shan Chen 004; Siena Placino; Yingya Li; Juan Carlos Climent Pardo; Daphna Idan; Takeshi Tohyama; David S. Restrepo; Luis Filipe Nakayama; Jose M. M. Pascual-Leone; Guergana K. Savova; Hugo J. W. L. Aerts; et al. (NAACL (Findings), 2025)

Representation Learning of Lab Values via Masked AutoEncoder. - David S. Restrepo; Chenwei Wu 006; Yueran Jia; Jaden K. Sun; Jack Gallifant; Catherine G. Bielick; Yugang Jia; Leo A. Celi (CoRR, 2025)

Sparse Autoencoder Features for Classifications and Transferability. - Jack Gallifant; Shan Chen 004; Kuleen Sasse; Hugo J. W. L. Aerts; Thomas Hartvigsen; Danielle S. Bitterman (CoRR, 2025)

MedBrowseComp: Benchmarking Medical Deep Research and Computer Use. - Shan Chen 004; Pedro Moreira; Yuxin Xiao; Sam Schmidgall; Jeremy L. Warner; Hugo J. W. L. Aerts; Thomas Hartvigsen; Jack Gallifant; Danielle S. Bitterman (CoRR, 2025)

KScope: A Framework for Characterizing the Knowledge Status of Language Models. - Yuxin Xiao; Shan Chen 004; Jack Gallifant; Danielle S. Bitterman; Thomas Hartvigsen; Marzyeh Ghassemi (CoRR, 2025)