Jason Fries

Testing and Evaluation of Health Care Applications of Large Language Models

2024 · 339 Zit. · JAMA

Snorkel: rapid training data creation with weak supervision

2019 · 334 Zit. · The VLDB Journal

The shaky foundations of large language models and foundation models for electronic health records

2023 · 254 Zit. · npj Digital Medicine

Evaluation of domain generalization and adaptation on improving model robustness to temporal dataset shift in clinical medicine

2022 · 75 Zit. · Scientific Reports

A multi-center study on the adaptability of a shared foundation model for electronic health records

2024 · 41 Zit. · npj Digital Medicine

A Systematic Review of Testing and Evaluation of Healthcare Applications of Large Language Models (LLMs)

2024 · 40 Zit. · medRxiv

Red teaming ChatGPT in medicine to yield real-world insights on model behavior

2025 · 23 Zit. · npj Digital Medicine

MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records

2023 · 19 Zit. · arXiv (Cornell University)

EHRSHOT: An EHR Benchmark for Few-Shot Evaluation of Foundation Models

2023 · 18 Zit. · arXiv (Cornell University)

BigBIO: A Framework for Data-Centric Biomedical Natural Language Processing

2022 · 12 Zit. · arXiv (Cornell University)

The Shaky Foundations of Clinical Foundation Models: A Survey of Large Language Models and Foundation Models for EMRs

2023 · 11 Zit. · arXiv (Cornell University)

Evaluation of Domain Generalization and Adaptation on Improving Model Robustness to Temporal Dataset Shift in Clinical Medicine

2021 · 10 Zit. · medRxiv

MedHELM: Holistic Evaluation of Large Language Models for Medical Tasks

2025 · 9 Zit. · ArXiv.org

Red Teaming Large Language Models in Medicine: Real-World Insights on Model Behavior

2024 · 9 Zit. · medRxiv

Perspective Toward Machine Learning Implementation in Pediatric Medicine: Mixed Methods Study

2022 · 7 Zit. · JMIR Medical Informatics