核心脏病学中的人工智能:国际原子能机构专家工作组的技术观点,战略方向和建议
Christiane Wiefels1, Luis Eduardo Juárez-Orozco2, Pietro Selemo Craviolatti3
1Division of Nuclear Medicine, University of Ottawa, Ottawa, Canada; Division of Cardiology University of Ottawa Heart Institute, Ottawa, Canada.
Seminars in nuclear medicine
|December 30, 2025
概括
人工智能 (AI) 提高了核心脏病诊断和效率. 挑战包括数据质量,知识差距和基础设施,需要标准化实践和培训来实现公平的AI实施.
科学领域:
- 核心脏病学 核心脏病学
- 医疗成像医学成像
- 人工智能的人工智能
背景情况:
- 人工智能 (AI) 越来越多地融入到核心脏病学中.
- 人工智能应用包括患者选择,图像重建,denoising和风险评估.
研究的目的:
- 为核心脏病学提供AI的概述,涵盖其技术基础,应用,价值和挑战.
- 为人工智能成熟和公平地在现场实施提供建议.
主要方法:
- 一本由国际原子能机构 (IAEA) 工作组制定的白皮书.
- 审查AI的技术方面,临床价值,以及核心脏病学中的实施障碍.
主要成果:
- 人工智能显示出提高诊断准确性,预后分层和运营效率的潜力.
- 关键的挑战包括有限的AI知识,数据异质性,基础设施差异和不断变化的监管框架.
结论:
- 人工智能可以显著提高核心脏病学的诊断和预后能力.
- 建议包括标准化实践,创建代表性数据集,促进多式联络成像,开发AI熟练人员,以公平地采用AI.
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