Abductive Explanations Align AI with Clinical Reasoning on Critical Symptoms
A new arXiv paper (2602.13985v2) proposes using formal abductive explanations to align AI diagnostic reasoning with structured clinical frameworks. The approach provides guaranteed, minimal sufficient feature sets, ensuring critical symptoms are not overlooked. It preserves predictive accuracy while offering clinically actionable insights, addressing trust and interpretability barriers in medical AI.
Key facts
- arXiv:2602.13985v2 is a replace-type announcement
- AI often matches or exceeds human diagnostic accuracy
- AI reasoning diverges from structured clinical frameworks
- Critical symptoms may be overlooked by AI models
- Existing post hoc explanations lack formal guarantees
- Abductive explanations offer consistent, guaranteed reasoning
- Approach preserves predictive accuracy
- Framework aims for trustworthy AI in medical diagnosis
Entities
Institutions
- arXiv