Jenna Wiens

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

2019 · 899 Zit. · Nature Medicine

Transforming Cardiovascular Care With Artificial Intelligence: From Discovery to Practice

2024 · 153 Zit. · Journal of the American College of Cardiology

Measuring the Impact of AI in the Diagnosis of Hospitalized Patients

2023 · 148 Zit. · JAMA

AI, Health, and Health Care Today and Tomorrow

2025 · 44 Zit. · JAMA

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

2019 · 28 Zit. · Nature Medicine

Turning the crank for machine learning: ease, at what expense?

2019 · 17 Zit. · The Lancet Digital Health

AI as an intervention: improving clinical outcomes relies on a causal approach to AI development and validation

2025 · 14 Zit. · Journal of the American Medical Informatics Association

Toward Realizing the Promise of AI in Precision Health Across the Spectrum of Care

2024 · 8 Zit. · Annual Review of Genomics and Human Genetics

Summertime for Cardiovascular AI

2024 · 4 Zit. · Circulation Cardiovascular Quality and Outcomes

Racial differences in laboratory testing as a potential mechanism for bias in AI: A matched cohort analysis in emergency department visits

2024 · 3 Zit. · PLOS Global Public Health

Disparate Censorship & Undertesting: A Source of Label Bias in Clinical Machine Learning

2022 · 2 Zit. · PubMed

The Search for the Golden Egg: Applied Large Language Models to Detect Patients With Potential Exposure to Avian Influenza

2025 · 0 Zit. · Clinical Infectious Diseases

On the Limits of Selective AI Prediction: A Case Study in Clinical Decision Making

2025 · 0 Zit. · ArXiv.org