Bioengineering
Pre-Deployment Audit of Actionability and Equity in Severe Tooth Loss Prediction Using Constrained Algorithmic Recourse and Temporal Validation
Computational studyBiomarkers
448,213 participants, cohort study
Abstract
Background Predictive performance does not establish whether model-identified risks correspond to feasible, equitable pathways. We assessed the actionability and equity of a severe tooth loss prediction model using constrained algorithmic recourse and same-source temporal validation.
The paper
Trường Đại học Kỹ thuật Y - Dược Đà Nẵng; Taipei Medical University
Bioengineering, 1 Sep 2026, CC BY

