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实验室数据作为医疗保健方面的潜在偏差来源 人工智能和机器学习模型

Hung S Luu1

  • 1Department of Pathology, UT Southwestern Medical Center, Dallas, TX, USA.

Annals of laboratory medicine
|October 24, 2024
PubMed
概括

医学中的人工智能 (AI) 和机器学习 (ML) 是强大的,但容易受到实验室数据的偏差的影响. 解决测试协调和互操作性等问题至关重要,以防止人工智能加剧健康差异.

关键词:
聚合偏差是一种聚合偏差.人工智能的人工智能是人工智能.临床病理学 临床病理学诊断错误是一个错误.健康信息的互操作性,健康信息的互操作性.逻辑观察标识符名称和代码机器学习是机器学习.这就是SNOMED CT.

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