When uncertainty quantification fails: structural vulnerabilities and corrections for selective prediction under clinical class imbalance.

arXiv:2610.37561v1 Announce Type: cross Abstract: Background. Selective prediction systems improve the safety of clinical artificial intelligence by deferring ambiguous cases to human experts while automating high-confidence decisions. However, this safety mec