National Board of Medical Examiners

The fundamentals of Artificial Intelligence in medical education research: AMEE Guide No. 156

Martin G. Tolsgaard, Martin Pusic, Stefanie S. Sebok‐Syer et al.

2023 · 103 Zit.

Transforming Assessment: The Impacts and Implications of Large Language Models and Generative AI

Jiangang Hao, Alina von Davier, Victoria Yaneva et al.

2024 · 57 Zit.

The role of data science and machine learning in Health Professions Education: practical applications, theoretical contributions, and epistemic beliefs

Martin G. Tolsgaard, Christy Boscardin, Yoon Soo Park et al.

2020 · 55 Zit.

Examining ChatGPT Performance on USMLE Sample Items and Implications for Assessment

Victoria Yaneva, Peter Baldwin, Daniel Jurich et al.

2023 · 52 Zit.

A Natural-Language-Processing-Based Procedure for Generating Distractors for Multiple-Choice Questions

Peter Baldwin, Janet Mee, Victoria Yaneva et al.

2021 · 6 Zit.

Leveraging Medical Licensure for Safer Artificial Intelligence Use in Health Care

D. Douglas Miller, Markad V. Kamath, J.E. Albers et al.

2025 · 1 Zit.

Exploring Language Patterns in a Medical Licensure Exam Item Bank

Swati Padhee, Kimberly A. Swygert, Ian Micir

2021 · 0 Zit.

The Mechanics and Validation of Generative AI Outcomes

Andreas Oranje

2024 · 0 Zit.