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Updated: May 5, 2026

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医学AI中的捷径学习阻碍了概括:估计AI模型概括的方法没有外部数据的概括.

Cathy Ong Ly1,2,3, Balagopal Unnikrishnan3,4,5,6, Tony Tadic7,8

  • 1Peter Munk Cardiac Centre and Ted Rogers Centre for Heart Research, University Health Network, Toronto, ON, Canada.

NPJ digital medicine
|May 14, 2024
PubMed
概括

医疗保健中的AI模型通常会因为数据偏差而高估性能. 一种名为PEst的新方法纠正了这些偏见,提高了AI在医疗应用中的通用性准确性估计.

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相关概念视频

Survival Tree01:19

Survival Tree

Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
 Building a Survival Tree
Constructing a...
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