心脏电生理学中的人工智能:综合性审查
Pietro Cipollone1, Nicola Pierucci1, Andrea Matteucci2
1Department of Cardiovascular, Respiratory, Nephrological, Aenesthesiological and Geriatric Sciences "Sapienza", University of Rome, 00161 Rome, Italy.
Journal of personalized medicine
|November 26, 2025
概括
人工智能 (AI) 通过改善心律失常检测和导管切除程序来增强心脏电生理学. 虽然人工智能提供了诊断和程序方面的好处,但为了广泛的临床采用,必须解决数据安全和伦理方面的挑战.
科学领域:
- 心脏病学 心脏病学
- 医疗技术 医疗技术 医学技术
- 人工智能的人工智能
背景情况:
- 人工智能 (AI) 越来越多地融入心脏病学,特别是电生理学.
- 人工智能分析复杂数据集的能力正在改变诊断和治疗策略.
- 电生理学正在迅速采用人工智能,以改善患者护理.
研究的目的:
- 在心脏电生理学中对人工智能模型和应用进行全面的审查.
- 检查AI在心电图解释,心律失常检测,心房映射和导管切除中的作用.
- 探索人工智能在电生理学中的局限性和未来潜力.
主要方法:
- 在电生理学中对AI,机器学习 (ML) 和深度学习 (DL) 的相关文献进行审查.
- 对人工智能的关键临床应用进行专题研究.
- 目前人工智能能力,技术和结果在电生理学的叙事综合.
主要成果:
- 人工智能工具可以有效地识别各种心律失常,包括心房动 (AF),心房动 (AFL),心室动脉冲动 (VTs) 和长QT综合征 (LQTS).
- 人工智能改善了电解剖绘图,缩短了操作时间,并有助于切除后的管理.
- 人工智能在提高诊断准确性和程序效率方面显示出巨大的潜力.
结论:
- 人工智能在诊断心律失常和提高电生理学过程效率方面具有显著的优势.
- 需要解决数据安全,伦理透明度和临床采用等挑战.
- 克服这些局限性是将AI整合到常规电生理学实践中的关键,并最大限度地提高其未来的影响.
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