Kakadiaris, Ioannis A.

Machine Learning Outperforms ACC/AHA CVD Risk Calculator in MESA

Kakadiaris, I. A., Vrigkas, M., Yen, A. A., Kuznetsova, T., Budoff, M., & Naghavi, M. (2018) · Journal of the American Heart Association

Lipoproteins and Cardiovascular HealthArtificial Intelligence in Healthcare

Cited by 227

Competencies for the Use of Artificial Intelligence in Primary Care

Liaw, W., Kueper, J. K., Lin, S., Bazemore, A., & Kakadiaris, I. (2022) · The Annals of Family Medicine

Artificial Intelligence in Healthcare and EducationInnovations in Medical Education

Cited by 83

Artificial intelligence applied to coronary artery calcium scans (AI-CAC) significantly improves cardiovascular events prediction

Naghavi, M., Reeves, A. P., Atlas, K., Zhang, C., Atlas, T., Henschke, C. I., Yankelevitz, D. F., Budoff, M. J., Li, D., Roy, S. K., et al. (2024) · npj Digital Medicine

Cardiac Imaging and DiagnosticsArtificial Intelligence in Healthcare and Education

Cited by 45

What Complexity Science Predicts About the Potential of Artificial Intelligence/Machine Learning to Improve Primary Care

Young, R. A., Martin, C. M., Sturmberg, J. P., Hall, S., Bazemore, A., Kakadiaris, I. A., & Lin, S. (2024) · The Journal of the American Board of Family Medicine

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 17

System Cards for AI-Based Decision-Making for Public Policy

Gursoy, F., & Kakadiaris, I. A. (2022) · arXiv

Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)

Cited by 7