Artificial Intelligence and Machine Learning in Cardiology

Affiliations

¹ Swedish Heart and Vascular Institute, Seattle, Washington. Electronic address: Jeffrey.westcott@swedish.org.
² Duke University Health System, Durham, North Carolina.

Free article

Editorial

R Jeffrey Westcott et al. JACC Cardiovasc Interv. 2019.

Free article

. 2019 Jul 22;12(14):1312-1314.

doi: 10.1016/j.jcin.2019.03.026. Epub 2019 Jun 26.

¹ Swedish Heart and Vascular Institute, Seattle, Washington. Electronic address: Jeffrey.westcott@swedish.org.
² Duke University Health System, Durham, North Carolina.

No abstract available

Keywords: EHR; EMR; artificial intelligence; health information technology; machine learning; population health.

Comment on

Leveraging Machine Learning Techniques to Forecast Patient Prognosis After Percutaneous Coronary Intervention.
Zack CJ, Senecal C, Kinar Y, Metzger Y, Bar-Sinai Y, Widmer RJ, Lennon R, Singh M, Bell MR, Lerman A, Gulati R. Zack CJ, et al. JACC Cardiovasc Interv. 2019 Jul 22;12(14):1304-1311. doi: 10.1016/j.jcin.2019.02.035. Epub 2019 Jun 26. JACC Cardiovasc Interv. 2019. PMID: 31255564