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AI-generated data contamination erodes pathological variability and diagnostic reliability
2026-01-22
health informatics
Title + abstract only
View on medRxiv
Show abstract
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-referential cycle drives a rapid erosion of pathological variability and diagnostic rel...
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