Assessing Diagnostic Accuracy: AI-Assisted Versus Manual Interpretation of Digital Dental Radiographs

Abstract

Aim: to evaluate the effectiveness and diagnostic precision of manual versus AI-assisted digital dental radiograph interpretation.

Methodology: AI-based software and seasoned radiologists examined two hundred radiographs, including bitewing, panoramic, and periapical pictures. Evaluations were conducted on interobserver agreement, sensitivity, specificity, predictive values, and interpretation time.

Results: AI-assisted interpretation showed higher sensitivity (94.2%) and specificity (92.5%) than manual reading (89.6% and 90.3%) and reduced mean interpretation time (21.4 vs 48.7 seconds). Agreement with reference standard was higher for AI (kappa = 0.87).

Conclusion: AI-assisted radiographic interpretation is a dependable adjunct in dentistry that improves diagnostic accuracy and cuts down on reading time.