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
MedXY registered readers
Sign in free to continue reading
Create or use your MedXY account to unlock the complete article.
This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication.
