Broad Institute

Synthetic data in machine learning for medicine and healthcare

Richard J. Chen, Ming Y. Lu, Tiffany Chen et al.

2021 · 661 Zit.

Artificial intelligence for multimodal data integration in oncology

Jana Lipková, Richard J. Chen, Bowen Chen et al.

2022 · 592 Zit.

Algorithmic fairness in artificial intelligence for medicine and healthcare

Richard J. Chen, Judy J. Wang, Drew F. K. Williamson et al.

2023 · 489 Zit.

Metrics reloaded: recommendations for image analysis validation

Lena Maier‐Hein, Annika Reinke, Patrick Godau et al.

2024 · 344 Zit.

A guide to artificial intelligence for cancer researchers

Raquel Pérez-López, Narmin Ghaffari Laleh, Faisal Mahmood et al.

2024 · 165 Zit.

Understanding metric-related pitfalls in image analysis validation

Annika Reinke, Minu D. Tizabi, Michael Baumgartner et al.

2024 · 154 Zit.

A manifesto on explainability for artificial intelligence in medicine

Carlo Combi, Beatrice Amico, Riccardo Bellazzi et al.

2022 · 142 Zit.

Federated benchmarking of medical artificial intelligence with MedPerf

Alexandros Karargyris, Renato Umeton, Micah Sheller et al.

2023 · 110 Zit.

Artificial intelligence for diagnostic and prognostic neuroimaging in dementia: A systematic review

Robin Borchert, Tiago Azevedo, AmanPreet Badhwar et al.

2023 · 91 Zit.

Demographic bias in misdiagnosis by computational pathology models

Anurag Vaidya, Richard J. Chen, Drew F. K. Williamson et al.

2024 · 82 Zit.

To do no harm — and the most good — with AI in health care

Carey Beth Goldberg, Laura Adams, David Blumenthal et al.

2024 · 68 Zit.

Clinical significance, challenges and limitations in using artificial intelligence for electrocardiography-based diagnosis

Cheuk To Chung, Sharen Lee, Emma King et al.

2022 · 63 Zit.

Perspectives of Oncologists on the Ethical Implications of Using Artificial Intelligence for Cancer Care

Andrew Hantel, Thomas Walsh, Jonathan M. Marron et al.

2024 · 40 Zit.

Calibration of additional computational tools expands ClinGen recommendation options for variant classification with PP3/BP4 criteria

Timothy Bergquist, Sarah L. Stenton, Emily A.W. Nadeau et al.

2025 · 32 Zit.

A benchmarking crisis in biomedical machine learning

Faisal Mahmood

2025 · 27 Zit.