Artificial intelligence modelling to assess the risk of cardiovascular disease in oncology patients

Authors

Samer S. Al-Droubi, Vanderbilt University Medical Center, 1211 Medical Center Dr, Nashville, TN 37232, USA.
Eiman Jahangir, Vanderbilt University Medical Center, 1211 Medical Center Dr, Nashville, TN 37232, USA.
Karl M. Kochendorfer, University of Illinois at Chicago, 1919 West Taylor Street (MC 530), Chicago, IL 60612, USA.
Marianna Krive, Advocate Aurora HealthFollow
Michal Laufer-Perl, Sourasky Medical Center, Affiliated to the Sackler School of Medicine, Tel Aviv University, Israel, Weizmann St 6, Tel Aviv-Yafo.
Dan Gilon, Hadassah Medical Center, Faculty of Medicine, Hebrew University of Jerusalem, Ein-Kerem, Jerusalem, 9112001, Israel.
Tochukwu M. Okwuosa, Rush University Medical Center, Department of Internal Medicine, 1725 W Harrison St., Suite 1010-A, Chicago, IL 60612, USA.
Christopher P. Gans, Department of Cardiovascular Medicine at Briarwood Health Associates, University of Michigan Health, 25 Briarwood Cir, Ann Arbor, MI 48108, USA.
Joshua H. Arnold, University of Illinois at Chicago, 1919 West Taylor Street (MC 530), Chicago, IL 60612, USA.
Shakthi T. Bhaskar, Vanderbilt University Medical Center, 1211 Medical Center Dr, Nashville, TN 37232, USA.
Hesham A. Yasin, Department of Internal Medicine, Tennova Healthcare, 651 Dunlop Ln, Clarksville, TN 37040, USA.
Jacob Krive, Department of Health Informatics at Dr. Kiran C. Patel College of Osteopathic Medicine, Nova Southeastern University, 3200 South University Drive, Fort Lauderdale, FL 33328-2018, USA.

Recommended Citation

Al-Droubi SS, Jahangir E, Kochendorfer KM, et al. Artificial intelligence modelling to assess the risk of cardiovascular disease in oncology patients. Eur Heart J Digit Health. 2023;4(4):302-315. Published 2023 May 8. doi:10.1093/ehjdh/ztad031

Affiliations

Advocate Heart Institute, Park Ridge, IL

Document Type

Article

PubMed ID

37538144