Andrew Y. Ng

Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet

2018 · 709 Zit. · PLoS Medicine

MURA: Large Dataset for Abnormality Detection in Musculoskeletal Radiographs

2017 · 248 Zit. · arXiv (Cornell University)

Evaluating progress in automatic chest X-ray radiology report generation

2023 · 132 Zit. · Patterns

MURA Dataset: Towards Radiologist-Level Abnormality Detection in Musculoskeletal Radiographs

2017 · 75 Zit. · arXiv (Cornell University)

Development and Validation of an Artificial Intelligence System to Optimize Clinician Review of Patient Records

2021 · 59 Zit. · JAMA Network Open

CheXpedition: Investigating Generalization Challenges for Translation of Chest X-Ray Algorithms to the Clinical Setting

2020 · 24 Zit. · arXiv (Cornell University)

VisualCheXbert

2021 · 23 Zit.

MedAgentBench: A Virtual EHR Environment to Benchmark Medical LLM Agents

2025 · 19 Zit. · NEJM AI

CheXphoto: 10,000+ Photos and Transformations of Chest X-rays for Benchmarking Deep Learning Robustness

2020 · 17 Zit. · arXiv (Cornell University)

CheXED

2021 · 14 Zit. · Journal of Thoracic Imaging

CheXternal

2021 · 12 Zit.

330 DEVELOPMENT AND VALIDATION OF AN ARTIFICIAL INTELLIGENCE SYSTEM TO OPTIMIZE CLINICIAN REVIEW OF PATIENT RECORDS

2021 · 8 Zit. · Gastroenterology

VisualCheXbert: Addressing the Discrepancy Between Radiology Report Labels and Image Labels

2021 · 5 Zit. · arXiv (Cornell University)

CheXbreak: Misclassification Identification for Deep Learning Models Interpreting Chest X-rays

2021 · 2 Zit. · arXiv (Cornell University)

MedAgentBench: A Realistic Virtual EHR Environment to Benchmark Medical LLM Agents

2025 · 1 Zit. · Qeios