Artificial intelligence in cardiology: implications for healthcare outcomes.
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| Title: | Artificial intelligence in cardiology: implications for healthcare outcomes. |
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| Authors: | Harris MN; Department of Physiology and Biophysics, College of Medicine, Howard University, Washington, DC, United States., Desai P; Department of Physiology and Biophysics, College of Medicine, Howard University, Washington, DC, United States., Yalley E; Department of Physiology and Biophysics, College of Medicine, Howard University, Washington, DC, United States., Wu Y; Department of Physiology and Biophysics, College of Medicine, Howard University, Washington, DC, United States., Singleton M; Department of Physiology and Biophysics, College of Medicine, Howard University, Washington, DC, United States., DeBerry E; Department of Physiology and Biophysics, College of Medicine, Howard University, Washington, DC, United States., Batta Y; Department of Internal Medicine, Temple University, Philadelphia, PA, United States., Levy G; Department of Surgery, College of Medicine, Howard University, Washington, DC, United States., Haddad GE; Department of Physiology and Biophysics, College of Medicine, Howard University, Washington, DC, United States. |
| Source: | Frontiers in artificial intelligence [Front Artif Intell] 2026 Jul 15; Vol. 9, pp. 1818586. Date of Electronic Publication: 2026 Jul 15 (Print Publication: 2026). |
| Publication Type: | Journal Article; Review |
| Journal Info: | Publisher: Frontiers Media SA Country of Publication: Switzerland NLM ID: 101770551 Publication Model: eCollection Cited Medium: Internet ISSN: 2624-8212 (Electronic) Linking ISSN: 26248212 NLM ISO Abbreviation: Front Artif Intell Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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