Effect of AI-assisted caries annotation on dental students' performance in caries detection on panoramic radiographs
Dental caries remains one of the most prevalent oral diseases globally. The integration of artificial intelligence (AI) into dental radiographic interpretation, particularly for caries detection, has expanded rapidly. AI-assisted caries annotation may help dental students identify carious lesions on panoramic radiographs-a commonly used diagnostic tool for evaluating teeth and surrounding structures-thereby improving diagnostic accuracy, efficiency, and confidence. This study aimed to assess the effect of AI-ass…
AI-assisted caries annotation increased dental students' diagnostic accuracy, sensitivity, and confidence while reducing interpretation time on panoramic radiographs.
Evidence
- Peer-reviewedBMC Medical Education2026-07-16
How should this claim be treated?
Truvace Impact Record TRV-2026-0258, v1: “Effect of AI-assisted caries annotation on dental students' performance in caries detection on panoramic radiographs.” Truvace, 2026-07-18. /record/TRV-2026-0258 (accessed at citation time). sha256 dbdabbc1b9c3af5e…
Calibration history
Every change to this record since certification, in the open. None yet — the reading has held since it entered the record.
Certified into the record
How to verify without trusting this page
Fetch the canonical text of any version from /api/record/TRV-2026-0258 and hash it yourself — for example shasum -a 256 on the saved canonical field. The result must equal content_hash, and each version’s text ends with prev:followed by the prior version’s hash (version 1 chains to 64 zeros). If a single character of any version had been altered since certification, the chain would not reproduce.
ace