3 papers
cs.LG2026
Learning to Defer with Guidance on Real World Medical Data
Emma Sun, Joshua Strong, Alison Noble
Medical image interpretation is high-volume and time-consuming, and while AI interpretation can reduce workload, fully autonomous deployment carries potential safety concerns and l…
cs.AI2026
Quality Action Assurance: Multimodal Verification of Examiner Claims in VR OSCEs
Harry Rogers, Sally Shiels, Ashley Tomlinson +5
Objective Structured Clinical Examinations (OSCEs) are the gold standard for assessing clinical competence, yet scoring remains vulnerable to examiner subjectivity, fatigue, and co…
cs.LG2025
Identity-Free Deferral For Unseen Experts
Joshua Strong, Pramit Saha, Yasin Ibrahim +2
Learning to Defer (L2D) improves AI reliability in decision-critical environments by training AI to either make its own prediction or defer the decision to a human expert. A key ch…