Feng, Jean

Clinical artificial intelligence quality improvement: towards continual monitoring and updating of AI algorithms in healthcare

Feng, J., Phillips, R. V., Malenica, I., Bishara, A., Hubbard, A. E., Celi, L. A., & Pirracchio, R. (2022) · npj Digital Medicine

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

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Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials

Esteva, A., Feng, J., van der Wal, D., Huang, S.-C., Simko, J. P., DeVries, S., Chen, E., Schaeffer, E. M., Morgan, T. M., Sun, Y., et al. (2022) · npj Digital Medicine

Radiomics and Machine Learning in Medical ImagingAI in cancer detection

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Longitudinal Study of Prepregnancy Cardiometabolic Risk Factors and Subsequent Risk of Gestational Diabetes Mellitus: The CARDIA Study

Gunderson, E. P., Quesenberry, C. P., Jacobs, D. R., Feng, J., Lewis, C. E., & Sidney, S. (2010) · American Journal of Epidemiology

Gestational Diabetes Research and ManagementDiabetes, Cardiovascular Risks, and Lipoproteins

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Not All Clinical AI Monitoring Systems Are Created Equal: Review and Recommendations

Feng, J., Xia, F., Singh, K., & Pirracchio, R. (2025) · NEJM AI

Healthcare Technology and Patient MonitoringArtificial Intelligence in Healthcare and Education

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Approval policies for modifications to machine learning‐based software as a medical device: A study of bio‐creep

Feng, J., Emerson, S., & Simon, N. (2021) · Biometrics

Statistical Methods in Clinical TrialsHealthcare Regulation

Cited by 26