Sage Bionetworks

The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment

Melissa Haendel, Christopher G. Chute, Tellen D. Bennett et al.

2020 · 573 Zit.

Digital Medicine: A Primer on Measurement

Andrea Coravos, Jennifer C. Goldsack, Daniel R. Karlin et al.

2019 · 159 Zit.

Federated benchmarking of medical artificial intelligence with MedPerf

Alexandros Karargyris, Renato Umeton, Micah Sheller et al.

2023 · 110 Zit.

Will Machine Learning Tip the Balance in Breast Cancer Screening?

Andrew D. Trister, Diana S.M. Buist, Christoph I. Lee

2017 · 90 Zit.

Current Status and Future Directions: The Application of Artificial Intelligence/Machine Learning for Precision Medicine

Kunal Naik, Rahul K. Goyal, Luca Foschini et al.

2023 · 54 Zit.

External Validation of an Ensemble Model for Automated Mammography Interpretation by Artificial Intelligence

William Hsu, Daniel S. Hippe, Noor Nakhaei et al.

2022 · 45 Zit.

Big data: More than big data sets

Adrienne N. Cobb, Andrew Benjamin, Erich Huang et al.

2018 · 36 Zit.

Big Health Data Research and Group Harm: The Scope of IRB Review

Megan Doerr, Sara Meeder

2022 · 33 Zit.

AI-readiness for Biomedical Data: Bridge2AI Recommendations

Tim W. Clark, J. Harry Caufield, Jillian A. Parker et al.

2024 · 18 Zit.

App-enabled trial participation: Tectonic shift or tepid rumble?

Stephen Friend

2015 · 17 Zit.

Assessing the consequences of decentralizing biomedical research

Brian M. Bot, John Wilbanks, Lara M. Mangravite

2019 · 10 Zit.

Connected Medical Technology and Cybersecurity Informed Consent: A New Paradigm

Jeffrey Tully, Andrea Coravos, Megan Doerr et al.

2020 · 9 Zit.

Evaluation of crowdsourced mortality prediction models as a framework for assessing artificial intelligence in medicine

Timothy Bergquist, Thomas Schaffter, Yao Yan et al.

2023 · 8 Zit.

Evaluation of crowdsourced mortality prediction models as a framework for assessing AI in medicine

Timothy Bergquist, Thomas Schaffter, Yao Yan et al.

2021 · 5 Zit.

Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge

Maximilian Zenk, Ujjwal Baid, Sarthak Pati et al.

2025 · 3 Zit.