Michael A. Pfeffer
Harvard University · US
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Creation and Adoption of Large Language Models in Medicine
2023 · 383 Zit. · JAMA
Testing and Evaluation of Health Care Applications of Large Language Models
2024 · 359 Zit. · JAMA
The shaky foundations of large language models and foundation models for electronic health records
2023 · 258 Zit. · npj Digital Medicine
Artificial Intelligence–Generated Draft Replies to Patient Inbox Messages
2024 · 200 Zit. · JAMA Network Open
Ambient artificial intelligence scribes: physician burnout and perspectives on usability and documentation burden
2024 · 134 Zit. · Journal of the American Medical Informatics Association
Ambient artificial intelligence scribes: utilization and impact on documentation time
2024 · 88 Zit. · Journal of the American Medical Informatics Association
Physician Perspectives on Ambient AI Scribes
2025 · 80 Zit. · JAMA Network Open
Assessment of Adherence to Reporting Guidelines by Commonly Used Clinical Prediction Models From a Single Vendor
2022 · 46 Zit. · JAMA Network Open
A Systematic Review of Testing and Evaluation of Healthcare Applications of Large Language Models (LLMs)
2024 · 41 Zit. · medRxiv
Standing on FURM Ground: A Framework for Evaluating Fair, Useful, and Reliable AI Models in Health Care Systems
2024 · 40 Zit. · NEJM Catalyst
Perspectives on Artificial Intelligence–Generated Responses to Patient Messages
2024 · 29 Zit. · JAMA Network Open
Clinical trials informed framework for real world clinical implementation and deployment of artificial intelligence applications
2025 · 25 Zit. · npj Digital Medicine
Development of secure infrastructure for advancing generative artificial intelligence research in healthcare at an academic medical center
2025 · 22 Zit. · Journal of the American Medical Informatics Association
MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records
2023 · 19 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)