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Updated: Jan 16, 2026

An R-Based Landscape Validation of a Competing Risk Model
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在数据集转移下,对更安全的健康AI性能进行预测,量化认识体系不确定性

David Fernández-Narro1, Pablo Ferri1, Juan Miguel García-Gómez1

  • 1Biomedical Data Science Lab, Instituto Universitario de Tecnologías de la Información y Comunicaciones, Universitat Politècnica de Valéncia, Valencia, Spain.

Studies in health technology and informatics
|October 3, 2025
PubMed
概括

在AI模型中量化认识体系不确定性可以识别分布外数据,提高AI临床决策支持系统 (CDSS) 的安全性. 这种方法作为安全层,不需要重新训练模型,提高了医疗保健中的AI稳定性.

关键词:
数据集的转移数据集的转移.健康 人工智能 人工智能已经退出销售范围.值得信赖的AI 值得信赖的AI

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