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Emerging role of artificial intelligence in cardiac electrophysiology
Artificial intelligence (AI) and machine learning (ML) have significantly impacted the field of cardiovascular medicine, especially cardiac electrophysiology (EP), on multiple fronts. The goal of this review is to familiarize readers with the field of AI and ML and their emerging role in EP. The cur...
| Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9795267/ https://www.ncbi.nlm.nih.gov/pubmed/36589314 http://dx.doi.org/10.1016/j.cvdhj.2022.09.001 |
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| author | Kabra, Rajesh Israni, Sharat Vijay, Bharat Baru, Chaitanya Mendu, Raghuveer Fellman, Mark Sridhar, Arun Mason, Pamela Cheung, Jim W. DiBiase, Luigi Mahapatra, Srijoy Kalifa, Jerome Lubitz, Steven A. Noseworthy, Peter A. Navara, Rachita McManus, David D. Cohen, Mitchell Chung, Mina K. Trayanova, Natalia Gopinathannair, Rakesh Lakkireddy, Dhanunjaya |
| author_facet | Kabra, Rajesh Israni, Sharat Vijay, Bharat Baru, Chaitanya Mendu, Raghuveer Fellman, Mark Sridhar, Arun Mason, Pamela Cheung, Jim W. DiBiase, Luigi Mahapatra, Srijoy Kalifa, Jerome Lubitz, Steven A. Noseworthy, Peter A. Navara, Rachita McManus, David D. Cohen, Mitchell Chung, Mina K. Trayanova, Natalia Gopinathannair, Rakesh Lakkireddy, Dhanunjaya |
| author_sort | Kabra, Rajesh |
| collection | PubMed |
| description | Artificial intelligence (AI) and machine learning (ML) have significantly impacted the field of cardiovascular medicine, especially cardiac electrophysiology (EP), on multiple fronts. The goal of this review is to familiarize readers with the field of AI and ML and their emerging role in EP. The current review is divided into 3 sections. In the first section, we discuss the definitions and basics of AI, ML, and big data. In the second section, we discuss their application to EP in the context of detection, prediction, and management of arrhythmias. Finally, we discuss the regulatory issues, challenges, and future directions of AI in EP. |
| format | Online Article Text |
| id | pubmed-9795267 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2022 |
| publisher | Elsevier |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-97952672022-12-29 Emerging role of artificial intelligence in cardiac electrophysiology Kabra, Rajesh Israni, Sharat Vijay, Bharat Baru, Chaitanya Mendu, Raghuveer Fellman, Mark Sridhar, Arun Mason, Pamela Cheung, Jim W. DiBiase, Luigi Mahapatra, Srijoy Kalifa, Jerome Lubitz, Steven A. Noseworthy, Peter A. Navara, Rachita McManus, David D. Cohen, Mitchell Chung, Mina K. Trayanova, Natalia Gopinathannair, Rakesh Lakkireddy, Dhanunjaya Cardiovasc Digit Health J Review Artificial intelligence (AI) and machine learning (ML) have significantly impacted the field of cardiovascular medicine, especially cardiac electrophysiology (EP), on multiple fronts. The goal of this review is to familiarize readers with the field of AI and ML and their emerging role in EP. The current review is divided into 3 sections. In the first section, we discuss the definitions and basics of AI, ML, and big data. In the second section, we discuss their application to EP in the context of detection, prediction, and management of arrhythmias. Finally, we discuss the regulatory issues, challenges, and future directions of AI in EP. Elsevier 2022-09-27 /pmc/articles/PMC9795267/ /pubmed/36589314 http://dx.doi.org/10.1016/j.cvdhj.2022.09.001 Text en © 2022 Heart Rhythm Society. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
| spellingShingle | Review Kabra, Rajesh Israni, Sharat Vijay, Bharat Baru, Chaitanya Mendu, Raghuveer Fellman, Mark Sridhar, Arun Mason, Pamela Cheung, Jim W. DiBiase, Luigi Mahapatra, Srijoy Kalifa, Jerome Lubitz, Steven A. Noseworthy, Peter A. Navara, Rachita McManus, David D. Cohen, Mitchell Chung, Mina K. Trayanova, Natalia Gopinathannair, Rakesh Lakkireddy, Dhanunjaya Emerging role of artificial intelligence in cardiac electrophysiology |
| title | Emerging role of artificial intelligence in cardiac electrophysiology |
| title_full | Emerging role of artificial intelligence in cardiac electrophysiology |
| title_fullStr | Emerging role of artificial intelligence in cardiac electrophysiology |
| title_full_unstemmed | Emerging role of artificial intelligence in cardiac electrophysiology |
| title_short | Emerging role of artificial intelligence in cardiac electrophysiology |
| title_sort | emerging role of artificial intelligence in cardiac electrophysiology |
| topic | Review |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9795267/ https://www.ncbi.nlm.nih.gov/pubmed/36589314 http://dx.doi.org/10.1016/j.cvdhj.2022.09.001 |
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