The detection of apical radiolucencies in periapical radiographs: A comparison between an artificial intelligence platform and expert endodontists with CBCT serving as the diagnostic benchmark
While Diagnocat exhibited high agreement with clinicians in detecting PARLs on PA radiographs, clinicians demonstrated superior accuracy and sensitivity overall. Notably, Diagnocat performed comparably to experienced clinicians in cases without PARLs, highlighting its potential utility for reliably ruling out disease. However, further refinement is required before it can reliably complement clinical judgment in endodontic practice.
Authors
- Francesco Mannocci (ORCID: https://orcid.org/0000-0002-0560-1054)
- Garrit Koller (ORCID: https://orcid.org/0000-0001-7196-1472)
- Marwa Allihaibi (ORCID: https://orcid.org/0000-0002-6493-7658)
Institutions
- Taif University (SA)
- King's College London (GB)
Publication Details
- Journal
- International Endodontic Journal
- Published
- 2025-05-03
- DOI
- https://doi.org/10.1111/iej.14250
- Citations
- 5
- Primary Topic
- Dental Radiography and Imaging
- Type
- article
- Field-Weighted Citation Impact
- 8.95
Funders
- Taif University