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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.

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概括
此摘要是机器生成的。

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.

关键词:
人工智能的人工智能是人工智能.部署 部署 部署 部署发展发展发展 发展发展基础设施 基础设施整合临床工作流程.机器学习 机器学习

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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.