Diagnosis of Mitral Valve Prolapse Using Artificial Intelligence: Is it Ready for Primetime?
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| Title: | Diagnosis of Mitral Valve Prolapse Using Artificial Intelligence: Is it Ready for Primetime? |
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| Authors: | Messika-Zeitoun D; Division of Cardiology, Department of Medicine, University of Ottawa Heart Institute, Ottawa, Ontario, Canada; School of Epidemiology and Public Health, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada. Electronic address: dmessika-zeitoun@ottawaheart.ca., Theriault-Lauzier P; Division of Cardiology, Department of Medicine, University of Ottawa Heart Institute, Ottawa, Ontario, Canada., Burwash IG; Division of Cardiology, Department of Medicine, University of Ottawa Heart Institute, Ottawa, Ontario, Canada. |
| Source: | JACC. Cardiovascular imaging [JACC Cardiovasc Imaging] 2026 Jan; Vol. 19 (1), pp. 30-32. Date of Electronic Publication: 2025 Sep 30. |
| Publication Type: | Editorial |
| Journal Info: | Publisher: Elsevier Country of Publication: United States NLM ID: 101467978 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1876-7591 (Electronic) Linking ISSN: 18767591 NLM ISO Abbreviation: JACC Cardiovasc Imaging Subsets: MEDLINE; In Process |
| Database: | MEDLINE Ultimate |
| ISSN: | 1876-7591 |
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| DOI: | 10.1016/j.jcmg.2025.09.002 |
