A Talk with ChatGPT: The Role of Artificial Intelligence in Shaping the Future of Cardiology and Electrophysiology.

IF 3 3区医学 Q2 HEALTH CARE SCIENCES & SERVICES

Journal of Personalized Medicine Pub Date : 2025-05-20 DOI:10.3390/jpm15050205

Angelica Cersosimo, Elio Zito, Nicola Pierucci, Andrea Matteucci, Vincenzo Mirco La Fazia

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引用次数: 0

Abstract

Background: Artificial intelligence (AI) is poised to significantly impact the future of cardiology and electrophysiology, offering new tools to interpret complex datasets, improve diagnosis, optimize clinical workflows, and personalize therapy. ChatGPT-4o, a leading AI-based language model, exemplifies the transformative potential of AI in clinical research, medical education, and patient care. Aim and Methods: In this paper, we present an exploratory dialogue with ChatGPT to assess the role of AI in shaping the future of cardiology, with a particular focus on arrhythmia management and cardiac electrophysiology. Topics discussed include AI applications in ECG interpretation, arrhythmia detection, procedural guidance during ablation, and risk stratification for sudden cardiac death. We also examine the risks associated with AI use, including overreliance, interpretability challenges, data bias, and generalizability. Conclusions: The integration of AI into cardiovascular care offers the potential to enhance diagnostic accuracy, tailor interventions, and support decision-making. However, the adoption of AI must be carefully balanced with clinical expertise and ethical considerations. By fostering collaboration between clinicians and AI developers, it is possible to guide the development of reliable, transparent, and effective tools that will shape the future of personalized cardiology and electrophysiology.

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与ChatGPT的对话：人工智能在塑造心脏病学和电生理学未来中的作用。

背景：人工智能（AI）有望对心脏病学和电生理学的未来产生重大影响，为解释复杂数据集、改善诊断、优化临床工作流程和个性化治疗提供新工具。chatgpt - 40是一种领先的基于人工智能的语言模型，体现了人工智能在临床研究、医学教育和患者护理方面的变革潜力。目的和方法：在本文中，我们提出了与ChatGPT的探索性对话，以评估人工智能在塑造心脏病学未来中的作用，特别关注心律失常管理和心脏电生理学。讨论的主题包括人工智能在心电图解释、心律失常检测、消融过程中的程序指导以及心源性猝死的风险分层中的应用。我们还研究了与人工智能使用相关的风险，包括过度依赖、可解释性挑战、数据偏差和概括性。结论：将人工智能整合到心血管护理中有可能提高诊断准确性、定制干预措施和支持决策。然而，人工智能的采用必须与临床专业知识和伦理考虑谨慎平衡。通过促进临床医生和人工智能开发人员之间的合作，有可能指导可靠、透明和有效工具的开发，这些工具将塑造个性化心脏病学和电生理学的未来。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Personalized Medicine Medicine-Medicine (miscellaneous)

CiteScore

4.10

自引率

0.00%

发文量

1878

审稿时长

11 weeks

期刊介绍： Journal of Personalized Medicine (JPM; ISSN 2075-4426) is an international, open access journal aimed at bringing all aspects of personalized medicine to one platform. JPM publishes cutting edge, innovative preclinical and translational scientific research and technologies related to personalized medicine (e.g., pharmacogenomics/proteomics, systems biology). JPM recognizes that personalized medicine—the assessment of genetic, environmental and host factors that cause variability of individuals—is a challenging, transdisciplinary topic that requires discussions from a range of experts. For a comprehensive perspective of personalized medicine, JPM aims to integrate expertise from the molecular and translational sciences, therapeutics and diagnostics, as well as discussions of regulatory, social, ethical and policy aspects. We provide a forum to bring together academic and clinical researchers, biotechnology, diagnostic and pharmaceutical companies, health professionals, regulatory and ethical experts, and government and regulatory authorities.