Nigam H. Shah

Implementing Machine Learning in Health Care — Addressing Ethical Challenges

2018 · 1.497 Zit. · New England Journal of Medicine

What This Computer Needs Is a Physician

2017 · 441 Zit. · JAMA

Creation and Adoption of Large Language Models in Medicine

2023 · 367 Zit. · JAMA

MINIMAR (MINimum Information for Medical AI Reporting): Developing reporting standards for artificial intelligence in health care

2020 · 358 Zit. · Journal of the American Medical Informatics Association

Testing and Evaluation of Health Care Applications of Large Language Models

2024 · 323 Zit. · JAMA

Making Machine Learning Models Clinically Useful

2019 · 267 Zit. · JAMA

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

2023 · 252 Zit. · npj Digital Medicine

Ethical and regulatory challenges of large language models in medicine

2024 · 234 Zit. · The Lancet Digital Health

A quality assessment tool for artificial intelligence-centered diagnostic test accuracy studies: QUADAS-AI

2021 · 217 Zit. · Nature Medicine

Ethics of Using and Sharing Clinical Imaging Data for Artificial Intelligence: A Proposed Framework

2020 · 180 Zit. · Radiology

Developing a delivery science for artificial intelligence in healthcare

2020 · 180 Zit. · npj Digital Medicine

Bridging the implementation gap of machine learning in healthcare

2019 · 160 Zit. · BMJ Innovations

External validation of AI models in health should be replaced with recurring local validation

2023 · 135 Zit. · Nature Medicine

A Nationwide Network of Health AI Assurance Laboratories

2023 · 98 Zit. · JAMA

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

2022 · 73 Zit. · Scientific Reports