人工智能工具开发:临床医生需要知道什么?
Boon-How Chew1,2, Kee Yuan Ngiam3,4
1Department of Biomedical Informatics, Yong Loo Lin School of Medicine, National University of Singapore C/O NUHS Tower Block, Level 8, 1E Kent Ridge Road, Singapore, 119228, Singapore. chewboonhow@upm.edu.my.
BMC medicine
|April 24, 2025
概括
临床医生对于在医疗保健中开发人工智能 (AI) 和机器学习 (ML) 工具至关重要. 了解人工智能工具开发生命周期,从问题识别到持续监测,对于有效的临床医生参与至关重要.
科学领域:
- 数字健康数字健康
- 医疗信息学医学信息学
- 医学中的人工智能
背景情况:
- 数字医学和智能医疗需要临床医生的积极参与.
- 人工智能 (AI) 和机器学习 (ML) 越来越多地被用于医疗保健决策.
- 临床医生是AI/ML工具的采用和成功的关键利益相关者.
研究的目的:
- 解释医疗保健中人工智能工具的完整开发过程.
- 详细介绍人工智能工具开发每个阶段的概念和技术方面.
- 促进临床医生对AI/ML工具联合设计和评估的理解和参与.
主要方法:
- 进行了有针对性的文献综述.
- 总结了在线结构化的材料.
- 进行了现有报告和文献的综合.
主要成果:
- 人工智能工具的开发是一个周期性的过程,涉及九个关键阶段.
- 阶段包括:问题识别,团队组建,数据策划,基础设施设置,模型探索,验证,注册,部署和持续改进.
- 每个阶段都有特定的技术考虑,需要跨学科的合作.
结论:
- 对人工智能开发生命周期的全面理解赋予临床医生权力.
- 这些知识有助于临床医生参与AI/ML工具的共同设计,评估和监测.
- 通过临床医生的参与,在医疗保健环境中促进AI/ML的更广泛采用和有效监管.
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