Embí, Peter J.

AI, Health, and Health Care Today and Tomorrow: The JAMA Summit Report on Artificial Intelligence

Angus, D. C., Khera, R., Lieu, T., Liu, V., Ahmad, F. S., Anderson, B., Bhavani, S. V., Bindman, A., Brennan, T., Celi, L. A., et al. (2025) · JAMA

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 195

Leveraging generative AI to prioritize drug repurposing candidates for Alzheimer's disease with real-world clinical validation

Yan, C., Grabowska, M. E., Dickson, A. L., Li, B., Wen, Z., Roden, D. M., Michael Stein, C., Embí, P. J., Peterson, J. F., Feng, Q., et al. (2024) · npj Digital Medicine

Alzheimer's disease research and treatmentsComputational Drug Discovery Methods

Cited by 73

Harnessing the Promise of Artificial Intelligence Responsibly

Dorr, D. A., Adams, L., & Embí, P. (2023) · JAMA

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 49

Sustainable deployment of clinical prediction tools—a 360° approach to model maintenance

Davis, S. E., Embí, P. J., & Matheny, M. E. (2024) · Journal of the American Medical Informatics Association

Artificial Intelligence in Healthcare and EducationMachine Learning in Healthcare

Cited by 46

Association between COVID-19 mRNA vaccination and COVID-19 illness and severity during Omicron BA.4 and BA.5 sublineage periods

Link-Gelles, R., Levy, M. E., Natarajan, K., Reese, S. E., Naleway, A. L., Grannis, S. J., Klein, N. P., DeSilva, M. B., Ong, T. C., Gaglani, M., et al. (2022) · medRxiv

SARS-CoV-2 and COVID-19 ResearchCOVID-19 Clinical Research Studies

Cited by 10

Large language models improve the identification of emergency department visits for symptomatic kidney stones

Bejan, C. A., Reed, A. M., Mikula, M., Zhang, S., Xu, Y., Fabbri, D., Embí, P. J., & Hsi, R. S. (2025) · Scientific Reports

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

Cited by 8