AI RESEARCH
Enhancing the Reliability of Medical AI through Expert-guided Uncertainty Modeling
arXiv CS.LG
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ArXi:2604.01898v1 Announce Type: new Artificial intelligence (AI) systems accelerate medical workflows and improve diagnostic accuracy in healthcare, serving as second-opinion systems. However, the unpredictability of AI errors poses a significant challenge, particularly in healthcare contexts, where mistakes can have severe consequences. A widely adopted safeguard is to pair predictions with uncertainty estimation, enabling human experts to focus on high-risk cases while streamlining routine verification.