Evaluating Diagnocat AI: Accuracy in Detecting Periapical Radiolucencies on CBCT Scans of Molars

Highlight

• The AI platform Diagnocat showed high sensitivity (up to 93.9%) in detecting periapical radiolucencies (PARLs) in CBCT scans of non-root-filled molars.
• Specificity was moderate, indicating potential for overdiagnosis, particularly in postoperative scans.
• Post-root canal treatment scans demonstrated significantly reduced positive predictive value (PPV) and F1 scores, suggesting diagnostic challenges post-treatment.
• The findings emphasize the complementary role of AI tools with expert human evaluation in endodontic diagnosis.

Study Background and Disease Burden