Dental AI Validation 3 articles

Dental AI validation is the process of evaluating whether an artificial-intelligence system performs as intended on relevant dental data and within its proposed use. Work may include comparison with a reference standard, sensitivity and specificity analysis, calibration, external datasets, subgroup assessment, prospective testing and checks for generalizability. Validation is separate from model development because it asks how reliably the system behaves beyond its training data. The term describes an evidence and verification process, not a marketing claim or regulatory approval by itself.