Suchi Saria

Do no harm: a roadmap for responsible machine learning for health care

2019 · 893 Zit. · Nature Medicine

Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklist

2020 · 531 Zit. · Nature Medicine

Human–machine teaming is key to AI adoption: clinicians’ experiences with a deployed machine learning system

2022 · 182 Zit. · npj Digital Medicine

Better medicine through machine learning: What’s real, and what’s artificial?

2018 · 111 Zit. · PLoS Medicine

Reporting and Implementing Interventions Involving Machine Learning and Artificial Intelligence

2020 · 105 Zit. · Annals of Internal Medicine

Use of artificial intelligence in critical care: opportunities and obstacles

2024 · 101 Zit. · Critical Care

A Nationwide Network of Health AI Assurance Laboratories

2023 · 97 Zit. · JAMA

Consensus Statement on Electronic Health Predictive Analytics: A Guiding Framework to Address Challenges

2016 · 53 Zit. · eGEMs (Generating Evidence & Methods to improve patient outcomes)

Large language models for science and medicine

2024 · 44 Zit. · European Journal of Clinical Investigation

The STARD-AI reporting guideline for diagnostic accuracy studies using artificial intelligence

2025 · 41 Zit. · Nature Medicine

AI, Health, and Health Care Today and Tomorrow

2025 · 38 Zit. · JAMA

Artificial Intelligence In Health And Health Care: Priorities For Action

2025 · 29 Zit. · Health Affairs

Author Correction: Do no harm: a roadmap for responsible machine learning for health care

2019 · 28 Zit. · Nature Medicine

The promise of AI and technology to improve quality of life and care for older adults

2023 · 20 Zit. · Nature Aging

The MI-CLAIM-GEN checklist for generative artificial intelligence in health

2025 · 12 Zit. · Nature Medicine