دورية أكاديمية
Emerging role of artificial intelligence in cardiac electrophysiology
| العنوان: | Emerging role of artificial intelligence in cardiac electrophysiology |
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| المؤلفون: | Rajesh Kabra, MD, FHRS, Sharat Israni, PhD, Bharat Vijay, MS, Chaitanya Baru, PhD, Raghuveer Mendu, BTech, Mark Fellman, BS, Arun Sridhar, MD, FHRS, Pamela Mason, MD, FHRS, Jim W. Cheung, MD, FHRS, Luigi DiBiase, MD, PhD, FHRS, Srijoy Mahapatra, MD, FHRS, Jerome Kalifa, MD, PhD, Steven A. Lubitz, MD, Peter A. Noseworthy, MD, FHRS, Rachita Navara, MD, David D. McManus, MD, FHRS, Mitchell Cohen, MD, Mina K. Chung, MD, FHRS, Natalia Trayanova, PhD, FHRS, Rakesh Gopinathannair, MD, FHRS, Dhanunjaya Lakkireddy, MD, FHRS |
| المصدر: | Cardiovascular Digital Health Journal, Vol 3, Iss 6, Pp 263-275 (2022) |
| بيانات النشر: | Elsevier, 2022. |
| سنة النشر: | 2022 |
| المجموعة: | LCC:Diseases of the circulatory (Cardiovascular) system LCC:Medical technology |
| مصطلحات موضوعية: | Artificial intelligence, Machine learning, Deep learning, Cardiac electrophysiology, Big data, Computational modeling, Diseases of the circulatory (Cardiovascular) system, RC666-701, Medical technology, R855-855.5 |
| الوصف: | 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. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 2666-6936 |
| Relation: | http://www.sciencedirect.com/science/article/pii/S2666693622001530; https://doaj.org/toc/2666-6936 |
| DOI: | 10.1016/j.cvdhj.2022.09.001 |
| URL الوصول: | https://doaj.org/article/336de8e6be8a4621958360252fec7120 |
| رقم الأكسشن: | edsdoj.336de8e6be8a4621958360252fec7120 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text via ClinicalKey 
Full Text Finder | تدمد: | 26666936 |
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| DOI: | 10.1016/j.cvdhj.2022.09.001 |