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肝病学人工智能的基础:临床医生需要知道的

Nana Peng^1,2, Sherlot J Song^1,2, Vicki Wing-Ki Hui^1,2

¹Medical Data Analytics Centre, The Chinese University of Hong Kong, Hong Kong SAR, China.

Journal of clinical and experimental hepatology

|October 6, 2025

概括

人工智能 (AI) 正在改变肝病学,通过先进的数据分析来加强肝病的诊断和管理. 临床医生的参与是人工智能开发和整合到患者护理中的关键.

科学领域:

肝病学和人工智能 (AI) 的研究

背景情况:

人工智能,包括机器学习和深度学习,越来越多地用于肝病学.
它处理大规模的临床数据,用于诊断,风险评估,预后和肝脏疾病的管理.
在线资源可用于为临床医生提供AI知识和技能,以便参与AI开发和部署.

研究的目的:

审查人工智能在肝病学中的基础知识.
探索AI在肝病诊断,风险分层和管理方面的变革潜力.
突出了临床医生参与AI生命周期的资源.

主要方法:

对肝病学中的AI应用进行审查,重点关注机器学习和深度学习.
分析AI在肝脏组织病理学和放射性成像中的实用性.
检查人工智能驱动的预测模型,以进行个性化风险分层和治疗指导.

主要成果:

人工智能显著提高了肝硬化,门高血压和肝细胞癌的诊断准确度.
人工智能模型使用复杂的患者数据提供个性化的风险分层和治疗指导.
新兴的人工智能应用包括对患者报告结果的分析,基因组数据和实时肝功能监测.

结论:

人工智能对肝病学实践和研究具有变革性的潜力.
成功的整合需要解决工作流整合,责任和患者隐私方面的挑战.
合作努力对于开发肝病学AI的最佳实践和治理至关重要.

关键词:

这就是 PROBAST+AI.三脚架+AI 这是一个非常好的方法.人工智能的人工智能是人工智能.深度学习是一种深度学习.电子健康记录是电子健康记录.肝细胞癌是肝细胞癌.影像成像技术影像成像技术纵向数据纵向数据纵向数据机器学习是机器学习.

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