Beyond bias: using AI to reduce diagnostic noise and manage novelty in clinical reasoning
Abstract Objectives This study examines AI’s capacity to mitigate noise-related diagnostic errors, evaluates its impact on accuracy, and explores the interplay between AI-driven efficiency and human clinical reasoning, particularly in rare or complex cases. Background: Diagnostic errors in clinical reasoning are signif...