Suchi Saria

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

2019 · 930 Zit. · Nature Medicine

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

2020 · 546 Zit. · Nature Medicine

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

2022 · 187 Zit. · npj Digital Medicine

Use of artificial intelligence in critical care: opportunities and obstacles

2024 · 113 Zit. · Critical Care

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 · 107 Zit. · Annals of Internal Medicine

A Nationwide Network of Health AI Assurance Laboratories

2023 · 100 Zit. · JAMA

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

2025 · 73 Zit. · Nature Medicine

AI, Health, and Health Care Today and Tomorrow

2025 · 68 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 · 49 Zit. · European Journal of Clinical Investigation

Artificial Intelligence In Health And Health Care: Priorities For Action

2025 · 32 Zit. · Health Affairs

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

2019 · 30 Zit. · Nature Medicine

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

2023 · 22 Zit. · Nature Aging

A data-driven framework for identifying patient subgroups on which an AI/machine learning model may underperform

2024 · 12 Zit. · npj Digital Medicine