David Ouyang

How medical AI devices are evaluated: limitations and recommendations from an analysis of FDA approvals

2021 · 431 Zit. · Nature Medicine

Deep learning evaluation of biomarkers from echocardiogram videos

2021 · 58 Zit. · EBioMedicine

Artificial Intelligence in Cardiovascular Care—Part 2: Applications

2024 · 51 Zit. · Journal of the American College of Cardiology

Deep Learning for Cardiovascular Imaging

2023 · 49 Zit. · JAMA Cardiology

Machine Learning and Bias in Medical Imaging: Opportunities and Challenges

2024 · 47 Zit. · Circulation Cardiovascular Imaging

Confounders mediate AI prediction of demographics in medical imaging

2022 · 44 Zit. · npj Digital Medicine

AI, Health, and Health Care Today and Tomorrow

2025 · 42 Zit. · JAMA

We Need More Randomized Clinical Trials of AI

2024 · 21 Zit. · NEJM AI

The Opportunities and Challenges of Large Language Models in Cardiology

2023 · 17 Zit. · JACC Advances

Deep Learning Prediction of Biomarkers from Echocardiogram Videos

2021 · 14 Zit.

Evolution of Future Medical AI Models — From Task-Specific, Disease-Centric to Universal Health

2024 · 14 Zit. · NEJM AI

Accelerating Science with Human+AI Review

2025 · 9 Zit. · NEJM AI

Multimodal Foundation Models For Echocardiogram Interpretation

2023 · 6 Zit. · arXiv (Cornell University)

Racial Disparities in Knowledge of Cardiovascular Disease by a Chat-Based Artificial Intelligence Model

2023 · 4 Zit.

Leveraging Large Clinical Data Sets for Artificial Intelligence in Medicine

2021 · 3 Zit. · JAMA Cardiology