دورية أكاديمية
Novel Artificial Intelligence Applications in Cardiology: Current Landscape, Limitations, and the Road to Real-World Applications.
العنوان: | Novel Artificial Intelligence Applications in Cardiology: Current Landscape, Limitations, and the Road to Real-World Applications. |
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المؤلفون: | Langlais ÉL; Division of Cardiology, Department of Medicine, Montreal Heart Institute, University of Montreal, 5000 Belanger Street, Montreal, QC, H1T 1C8, Canada.; Biomedical Engineering, École Polytechnique de Montréal, 2500 Chemin de Polytechnique, Montreal, QC, H3T 1J4, Canada., Thériault-Lauzier P; Division of Cardiology, Department of Medicine, University of Ottawa Heart Institute, University of Ottawa, 40 Ruskin Street, Ottawa, ON, K1Y 4W7, Canada., Marquis-Gravel G; Division of Cardiology, Department of Medicine, Montreal Heart Institute, University of Montreal, 5000 Belanger Street, Montreal, QC, H1T 1C8, Canada.; Department of Medicine, University of Montreal, 2900 Edouard Montpetit Blvd, Montreal, QC, H3T 1J4, Canada., Kulbay M; Department of Medicine, University of Montreal, 2900 Edouard Montpetit Blvd, Montreal, QC, H3T 1J4, Canada., So DY; Division of Cardiology, Department of Medicine, University of Ottawa Heart Institute, University of Ottawa, 40 Ruskin Street, Ottawa, ON, K1Y 4W7, Canada., Tanguay JF; Division of Cardiology, Department of Medicine, Montreal Heart Institute, University of Montreal, 5000 Belanger Street, Montreal, QC, H1T 1C8, Canada., Ly HQ; Division of Cardiology, Department of Medicine, Montreal Heart Institute, University of Montreal, 5000 Belanger Street, Montreal, QC, H1T 1C8, Canada., Gallo R; Division of Cardiology, Department of Medicine, Montreal Heart Institute, University of Montreal, 5000 Belanger Street, Montreal, QC, H1T 1C8, Canada.; Department of Medicine, University of Montreal, 2900 Edouard Montpetit Blvd, Montreal, QC, H3T 1J4, Canada., Lesage F; Division of Cardiology, Department of Medicine, Montreal Heart Institute, University of Montreal, 5000 Belanger Street, Montreal, QC, H1T 1C8, Canada.; Biomedical Engineering, École Polytechnique de Montréal, 2500 Chemin de Polytechnique, Montreal, QC, H3T 1J4, Canada., Avram R; Division of Cardiology, Department of Medicine, Montreal Heart Institute, University of Montreal, 5000 Belanger Street, Montreal, QC, H1T 1C8, Canada. robert.avram.md@gmail.com.; Department of Medicine, University of Montreal, 2900 Edouard Montpetit Blvd, Montreal, QC, H3T 1J4, Canada. robert.avram.md@gmail.com. |
المصدر: | Journal of cardiovascular translational research [J Cardiovasc Transl Res] 2023 Jun; Vol. 16 (3), pp. 513-525. Date of Electronic Publication: 2022 Apr 22. |
نوع المنشور: | Journal Article; Review |
اللغة: | English |
بيانات الدورية: | Publisher: Springer Country of Publication: United States NLM ID: 101468585 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1937-5395 (Electronic) Linking ISSN: 19375387 NLM ISO Abbreviation: J Cardiovasc Transl Res Subsets: MEDLINE |
أسماء مطبوعة: | Original Publication: New York, NY : Springer |
مواضيع طبية MeSH: | Cardiology* , Cardiovascular Diseases*/diagnosis , Cardiovascular Diseases*/therapy, Humans ; Artificial Intelligence ; Algorithms ; Precision Medicine |
مستخلص: | Cardiovascular diseases are the leading cause of death globally and contribute significantly to the cost of healthcare. Artificial intelligence (AI) is poised to reshape cardiology. Using supervised and unsupervised learning, the two main branches of AI, several applications have been developed in recent years to improve risk prediction, allow large-scale analysis of medical data, and phenotype patients for personalized medicine. In this review, we examine the key advances in AI in cardiology and its limitations regarding bias in the data, standardization in reporting, data access, and model trust and accountability in cases of error. Finally, we discuss implementation methods to unleash AI's potential in making healthcare more accurate and efficient. Several steps need to be followed and challenges overcome in order to successfully integrate AI in clinical practice and ensure its longevity. (© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.) |
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فهرسة مساهمة: | Keywords: Algorithms; Artificial intelligence; Cardiology; Cardiovascular care; Coronary angiogram; Diagnosis; Echocardiogram; Electrocardiogram; Real-world applications; Screening |
تواريخ الأحداث: | Date Created: 20220423 Date Completed: 20230629 Latest Revision: 20230629 |
رمز التحديث: | 20240628 |
DOI: | 10.1007/s12265-022-10260-x |
PMID: | 35460017 |
قاعدة البيانات: | MEDLINE |
تدمد: | 1937-5395 |
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DOI: | 10.1007/s12265-022-10260-x |