AI in interventional cardiology: Innovations and challenges.
| Autor: | Khelimskii D; Meshalkin National Medical Research Center, Ministry of Health of Russian Federation, Novosibirsk, Russian Federation., Badoyan A; Meshalkin National Medical Research Center, Ministry of Health of Russian Federation, Novosibirsk, Russian Federation., Krymcov O; Meshalkin National Medical Research Center, Ministry of Health of Russian Federation, Novosibirsk, Russian Federation., Baranov A; Meshalkin National Medical Research Center, Ministry of Health of Russian Federation, Novosibirsk, Russian Federation., Manukian S; Meshalkin National Medical Research Center, Ministry of Health of Russian Federation, Novosibirsk, Russian Federation., Lazarev M; HSE University, Russian Federation. |
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| Jazyk: | angličtina |
| Zdroj: | Heliyon [Heliyon] 2024 Aug 26; Vol. 10 (17), pp. e36691. Date of Electronic Publication: 2024 Aug 26 (Print Publication: 2024). |
| DOI: | 10.1016/j.heliyon.2024.e36691 |
| Abstrakt: | Artificial Intelligence (AI) permeates all areas of our lives. Even now, we all use AI algorithms in our daily activities, and medicine is no exception. The potential of AI technology is hard to overestimate; AI has already proven its effectiveness in many fields of science and technology. A vast number of methods have been proposed and are being implemented in various areas of medicine, including interventional cardiology. A hallmark of this discipline is the extensive use of visualization techniques not only for diagnosis but also for the treatment of patients with coronary heart disease. The implementation of instrumental AI will reduce costs, in a broad sense. In this article, we provide an overview of AI research in interventional cardiology, practical applications, as well as the problems hindering the widespread use of neural network technologies in interventional cardiology. Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. (© 2024 The Author(s).) |
| Databáze: | MEDLINE |
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