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Article

AI-generated data contamination erodes pathological variability and diagnostic reliability

2026-01-22

Abstract excerpt

Generative artificial intelligence (AI) is rapidly populating medical records with synthetic or partially AI-generated content, creating a feedback loop where future models are increasingly at risk of training on uncurated AI-generated data. However, the clinical consequences of this AI-generated data contamination remain unexplored. Here, we show that in the absence of mandatory human verification, this self-ref...

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Identifiers and source

Literature Corpus work
73d23646-3014-55be-89c6-a7da9ffdabd3
DOI
10.64898/2026.01.19.26344383
Open publication

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AI-generated data contamination erodes pathological variability and diagnostic reliabilityDOI 10.64898/2026.01.19.26344383
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