Why the study?
The standardized application, dynamic evaluation, and open innovation of artificial intelligence-enhanced electrocardiography (AI-ECG) for arrhythmia-related diseases require a guiding framework.
Provides 16 expert consensus recommendations combining evidence-based assessment, engineering standards, and regulatory frameworks to standardize the development and clinical application of AI-ECG in arrhythmia management.
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Standardizes AI-ECG use in arrhythmia care; extends prior evidence by integrating clinical, technical, and ethical standards.
Artificial intelligence‑enhanced electrocardiography (AI-ECG) is an important application of AI technology in the field of cardiovascular diseases. The popularization of AI-ECG can provide technical support for early screening, diagnosis, risk assessment, and mobile management of arrhythmia-related diseases. To promote the standardized application, dynamic evaluation, and open innovation of AI-ECG, the Chinese Heart Rhythm Society of the Chinese Society of Biomedical Engineering takes the lead and collaborates with the Chinese Society of Cardiology of the Chinese Medical Association to organize cardiovascular specialists, artificial intelligence, biomedical engineering, clinical research, and medical ethics experts. Based on evidence-based research at home and abroad, after multiple rounds of expert discussions and Delphi voting, expert recommendations are finally jointly formulated. This proposal proposes 16 core recommendations, providing a guiding framework for the development and clinical practice of AI-ECG-related products. In addition, the proposal also elaborates on the technical specifications, application scenarios, management standards, ethical supervision, and future development directions of AI-ECG, thereby promoting the comprehensive improvement of intelligent diagnosis and treatment of arrhythmia. Unlike traditional consensus and guidelines that rely heavily on GRADE evidence levels, this recommendation combines medical evidence-based assessment with medical device engineering standards and international artificial intelligence regulatory frameworks, providing a reference for the development of artificial intelligence guidelines or consensus in the medical field. Practice guideline registration: International Practice Guide Registration and Transparency Platform (PREPARE-2026CN080).
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陈来特 et al. (2026) studied Arrhythmia-related diseases. Artificial intelligence-enhanced electrocardiography (AI-ECG) was evaluated. AI-enhanced electrocardiography (AI-ECG) was addressed through 16 core expert recommendations via Delphi voting to guide development and clinical practice for arrhythmias.
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