Eduard Koshilko

Adaptive Thresholding in AI-CDSS: Dynamic Clinical Decision Boundaries for Evolving Patient Populations — A Narrative Review

Background. Artificial intelligence-based clinical decision support systems (AI-CDSS) typically convert a model's predicted risk into an actionable recommendation by comparing the output against a fixed decision threshold. Such static boundaries implicitly assume a stable patient...

Adaptive Thresholding in AI-CDSS: Dynamic Clinical Decision Boundaries for Evolving Patient Populations — A Narrative Review

Background. Artificial intelligence-based clinical decision support systems (AI-CDSS) typically convert a model's predicted risk into an actionable recommendation by comparing the output against a fixed decision threshold. Such static boundaries implicitly assume a stable patient...