Application of artificial intelligence in the diagnosis and treatment of cardiac arrhythmia.
The rapid growth in computational power, sensor technology, and wearable devices has provided a solid foundation for all aspects of cardiac arrhythmia care. Artificial intelligence (AI) has been instrumental in bringing about significant changes in the prevention, risk assessment, diagnosis, and tre...
| Published in: | Pacing & Clinical Electrophysiology Vol. 47; no. 6; pp. 789 - 802 |
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| Main Authors: | , , , , , , |
| Format: | pictorial review tables/charts Journal Article |
| Published: |
Wiley-Blackwell
Jun2024
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=177946213&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 177946213 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01478389 4F8 jtl: Pacing & Clinical Electrophysiology issn: 01478389 maglogo: Y pubinfo: dt: Jun2024 vid: 47 iid: 6 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 177946213 177060786 177946213 177946213 10.1111/pace.14995 177946213 ppf: 789 ppct: 13 formats: fmt: – @attributes: type: T – @attributes: type: C – @attributes: type: P tig: atl: Application of artificial intelligence in the diagnosis and treatment of cardiac arrhythmia. aug: au: Guo, Rong‐Xin Tian, Xu Bazoukis, George Tse, Gary Hong, Shenda Chen, Kang‐Yin Liu, Tong affil: Tianjin Key Laboratory of lonic‐Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin, China sug: subj: Arrhythmia Diagnosis Arrhythmia Therapy Artificial Intelligence Heart Pathology Pathologic Processes Arrhythmia, Ventricular Cardiac Pacing, Artificial Predictive Validity Electrodes Wearable Sensors Telehealth Monitoring, Physiologic Algorithms ab: The rapid growth in computational power, sensor technology, and wearable devices has provided a solid foundation for all aspects of cardiac arrhythmia care. Artificial intelligence (AI) has been instrumental in bringing about significant changes in the prevention, risk assessment, diagnosis, and treatment of arrhythmia. This review examines the current state of AI in the diagnosis and treatment of atrial fibrillation, supraventricular arrhythmia, ventricular arrhythmia, hereditary channelopathies, and cardiac pacing. Furthermore, ChatGPT, which has gained attention recently, is addressed in this paper along with its potential applications in the field of arrhythmia. Additionally, the accuracy of arrhythmia diagnosis can be improved by identifying electrode misplacement or erroneous swapping of electrode position using AI. Remote monitoring has expanded greatly due to the emergence of contactless monitoring technology as wearable devices continue to develop and flourish. Parallel advances in AI computing power, ChatGPT, availability of large data sets, and more have greatly expanded applications in arrhythmia diagnosis, risk assessment, and treatment. More precise algorithms based on big data, personalized risk assessment, telemedicine and mobile health, smart hardware and wearables, and the exploration of rare or complex types of arrhythmia are the future direction. pubtype: Academic Journal doctype: pictorial review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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