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...

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Published in:Pacing & Clinical Electrophysiology Vol. 47; no. 6; pp. 789 - 802
Main Authors: Guo, Rong‐Xin, Tian, Xu, Bazoukis, George, Tse, Gary, Hong, Shenda, Chen, Kang‐Yin, Liu, Tong
Format: pictorial review tables/charts Journal Article
Published: Wiley-Blackwell Jun2024
Online Access:View this record in EBSCOhost
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      dt: Jun2024
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      place: Malden, Massachusetts
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        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
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