Individualized Cardiovascular Therapeutics Using Artificial Intelligence-Powered Cardiovascular Imaging.

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Bibliographic Details
Title: Individualized Cardiovascular Therapeutics Using Artificial Intelligence-Powered Cardiovascular Imaging.
Authors: Tolu-Akinnawo OZ; Department of Internal Medicine, Meharry Medical College, Nashville, TN., Greek A; Department of Internal Medicine, Kansas City University College of Osteopathic Medicine, Joplin, MO., Jaamour D; Department of Internal Medicine, Northwestern Feinberg School of Medicine, Chicago, IL., Azeez HA; Department of Medicine and Surgery, College of Medicine, University of Ibadan, Ibadan, Nigeria., Ibekwe JP; Department of Medicine and Surgery, College of Medicine, University of Ibadan, Ibadan, Nigeria., Dorcas AO; Department of Internal Medicine, Sumy State University, Sumy, Ukraine., Bolarinwa AC; Department of Internal Medicine, University of Ibadan, Ibadan, Nigeria., Adenuga OA; Department of Internal Medicine, Albert Einstein College of Medicine-Montefiore, Bronx, NY., Jung JH; Department of Internal Medicine, Ascension Wisconsin, Milwaukee, WI; and., Toluwalase A; Division of Cardiology, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA.
Source: Journal of cardiovascular pharmacology [J Cardiovasc Pharmacol] 2026 Jun 01; Vol. 87 (6), pp. 394-402. Date of Electronic Publication: 2026 Jun 01.
Publication Type: Journal Article; Review
Journal Info: Publisher: Lippincott Williams & Wilkins Country of Publication: United States NLM ID: 7902492 Publication Model: Electronic Cited Medium: Internet ISSN: 1533-4023 (Electronic) Linking ISSN: 01602446 NLM ISO Abbreviation: J Cardiovasc Pharmacol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1533-4023
DOI:10.1097/FJC.0000000000001788