Pencina, Michael J.

Recommendations for data monitoring committees from the Clinical Trials Transformation Initiative

Calis, K. A., Archdeacon, P., Bain, R., DeMets, D., Donohue, M., Elzarrad, M. K., Forrest, A., McEachern, J., Pencina, M. J., Perlmutter, J., et al. (2017) · Clinical Trials

Statistical Methods in Clinical TrialsEthics in Clinical Research

Cited by 58

Translating ethical and quality principles for the effective, safe and fair development, deployment and use of artificial intelligence technologies in healthcare

Economou-Zavlanos, N. J., Bessias, S., Cary, M. P., Bedoya, A. D., Goldstein, B. A., Jelovsek, J. E., O’Brien, C. L., Walden, N., Elmore, M., Parrish, A. B., et al. (2024) · Journal of the American Medical Informatics Association

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 57

Implementing quality management systems to close the AI translation gap and facilitate safe, ethical, and effective health AI solutions

Overgaard, S. M., Graham, M. G., Brereton, T., Pencina, M. J., Halamka, J. D., Vidal, D. E., & Economou-Zavlanos, N. J. (2023) · npj Digital Medicine

Artificial Intelligence in Healthcare and EducationSafety Systems Engineering in Autonomy

Cited by 43

Pragmatic Approaches to the Evaluation and Monitoring of Artificial Intelligence in Health Care: A Science Advisory From the American Heart Association

Jain, S. S., Goto, S., Hall, J. L., Khan, S. S., MacRae, C. A., Ofori, C., Pegus, C., Pencina, M., Peterson, E. D., Schwamm, L. H., et al. (2025) · Circulation

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 23

ApoB, LDL-C, and non-HDL-C as markers of cardiovascular risk

Sehayek, D., Cole, J., Björnson, E., Wilkins, J. T., Mortensen, M. B., Dufresne, L., Pencina, K. M., Pencina, M. J., Thanassoulis, G., & Sniderman, A. D. (2025) · Journal of Clinical Lipidology

Lipoproteins and Cardiovascular HealthDiabetes, Cardiovascular Risks, and Lipoproteins

Cited by 20

Is hypertriglyceridemia a reliable indicator of cholesterol-depleted Apo B particles?

De Marco, D., Pencina, K., Pencina, M., Dufresne, L., Thanassoulis, G., & Sniderman, A. D. (2023) · Journal of Clinical Lipidology

Lipoproteins and Cardiovascular HealthLipid metabolism and disorders

Cited by 15

A victory for statins or a defeat for diet policies? Cholesterol falls in Poland in the past decade: A modeling study

Bandosz, P., O'Flaherty, M., Rutkowski, M., Kypridemos, C., Guzman-Castillo, M., Gillespie, D. O. S., Solnica, B., Pencina, M. J., Wyrzykowski, B., Capewell, S., et al. (2015) · International Journal of Cardiology

Lipoproteins and Cardiovascular HealthCancer, Lipids, and Metabolism

Cited by 15

A Federated Registration System for Artificial Intelligence in Health

Pencina, M. J., McCall, J., & Economou-Zavlanos, N. J. (2024) · JAMA

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 15

Integrating large language models in biostatistical workflows for clinical and translational research

Grambow, S. C., Desai, M., Weinfurt, K. P., Lindsell, C. J., Pencina, M. J., Rende, L., & Pomann, G.-M. (2025) · Journal of Clinical and Translational Science

Artificial Intelligence in Healthcare and EducationArtificial Intelligence Applications

Cited by 7

81Efficacy and safety of alternate-day versus daily dosing of statins: a systematic review and meta-analysis

Awad, K., Mikhailidis, D. P., Toth, P. P., Jones, S. R., Moriarty, P., Lip, G. Y. H., Muntner, P., Catapano, A. L., Pencina, M. J., Rosenson, R. S., et al. (2017) · European Heart Journal

Lipoproteins and Cardiovascular HealthAcute Myocardial Infarction Research

Cited by 2

The crucial role of academic medical centers in preparing for the future of health AI

Pencina, M. J., & Klotman, M. E. (2024) · North Carolina Medical Journal

Artificial Intelligence in Healthcare and EducationHealth and Medical Research Impacts

Cited by 1