AAAI 2026technical0 citations

Calibrating Reliance: Addressing Misuse and Disuse in AI-Based Second-Opinion Systems for Medical Diagnosis

Federico Cabitza, Andrea Campagner, Gian Eugenio Tontini

Abstract

AI systems are widely proposed as second-opinion advisors in clinical diagnosis, offering the promise of enhancing decision accuracy and clinician confidence while preserving human oversight. However, successful deployment in real-world practice faces a critical barrier: clinicians

BibTeX
@inproceedings{aaai2026_calibratingrelia,
  title = {Calibrating Reliance: Addressing Misuse and Disuse in AI-Based Second-Opinion Systems for Medical Diagnosis},
  author = {Federico Cabitza and Andrea Campagner and Gian Eugenio Tontini},
  booktitle = {AAAI 2026},
  year = {2026}
}
Calibrating Reliance: Addressing Misuse and Disuse in AI-Based Second-Opinion Systems for Medical Diagnosis · AAAI 2026