Jack Gallifant

According to our database, Jack Gallifant authored at least 13 papers in 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

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

Wait, but Tylenol is Acetaminophen... Investigating and Improving Language Models' Ability to Resist Requests for Misinformation.

Shan Chen, Mingye Gao, Kuleen Sasse, Thomas Hartvigsen, Brian Anthony, Lizhou Fan, Hugo J. W. L. Aerts, Jack Gallifant, Danielle S. Bitterman

CoRR, 2024

AIPatient: Simulating Patients with EHRs and LLM Powered Agentic Workflow.

Huizi Yu, Jiayan Zhou, Lingyao Li, Shan Chen, Jack Gallifant, Anye Shi, Xiang Li, Wenyue Hua, Mingyu Jin, Guang Chen, Yang Zhou, Zhao Li, Trisha Gupte, Ming-Li Chen, Zahra Azizi, Yongfeng Zhang, Themistocles L. Assimes, Xin Ma, Danielle S. Bitterman, Lin Lu, Lizhou Fan

CoRR, 2024

EHRmonize: A Framework for Medical Concept Abstraction from Electronic Health Records using Large Language Models.

João Matos, Jack Gallifant, Jian Pei, A. Ian Wong

CoRR, 2024

ACES: Automatic Cohort Extraction System for Event-Stream Datasets.

Justin Xu, Jack Gallifant, Alistair E. W. Johnson, Matthew B. A. McDermott

CoRR, 2024

Analyzing Diversity in Healthcare LLM Research: A Scientometric Perspective.

David S. Restrepo, Chenwei Wu, Constanza Vásquez-Venegas, João Matos, Jack Gallifant, Luis Filipe

CoRR, 2024

Cross-Care: Assessing the Healthcare Implications of Pre-training Data on Language Model Bias.

Shan Chen, 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, Leo Anthony Celi, William G. La Cava, 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

Improving Clinical NLP Performance through Language Model-Generated Synthetic Clinical Data.

Shan Chen, Jack Gallifant, Marco Guevara, Yanjun Gao, Majid Afshar, Timothy Miller, Dmitriy Dligach, Danielle S. Bitterman

CoRR, 2024

A Closer Look at AUROC and AUPRC under Class Imbalance.

Matthew B. A. McDermott, Lasse Hyldig Hansen, Haoran Zhang, Giovanni Angelotti, Jack Gallifant

CoRR, 2024

Seeing Beyond Borders: Evaluating LLMs in Multilingual Ophthalmological Question Answering.

David S. Restrepo, Luis Filipe Nakayama, Robyn Gayle Dychiao, Chenwei Wu, Liam G. McCoy, Jose Carlo Artiaga, Marisa Cobanaj, João Matos, Jack Gallifant, Danielle S. Bitterman, Vincenz Ferrer, Yindalon Aphinyanaphongs, Leo Anthony Celi

Proceedings of the 12th IEEE International Conference on Healthcare Informatics, 2024

Language Models are Surprisingly Fragile to Drug Names in Biomedical Benchmarks.

Jack Gallifant, Shan Chen, Pedro Moreira, Nikolaj Munch, Mingye Gao, Jackson Pond, Leo Anthony Celi, Hugo J. W. L. Aerts, Thomas Hartvigsen, Danielle S. Bitterman

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024