Scientific Literature Archive

All Decoded Dental Studies

Every breakdown provides direct peer-reviewed DOIs, verified clinical metrics, and clear takeaways for patients, students, and clinicians.

Week 1 Diagnostics

Published • 60k Scans

Clinical and Experimental Dental Research (2026)

Can AI Reliably Plan Treatment and Spot Cavities? A 60k-Scan Meta-Analysis

Analyzing 27 clinical trials across 60,857 radiographs. AI reaches 85% sensitivity and 94% specificity, proving it is an indispensable co-pilot rather than a replacement.

DOI: 10.1002/cre2.70343 Read Study →

⏳ Coming Next Week

Deep Learning in Pediatric Dentistry: 97% Specificity for Childhood Cavities

Paper: Children (MDPI, 2026). Systematic review of neural networks detecting early enamel caries and preventing childhood decay before symptoms begin.

Expected Release: Thursday / Friday

Series: AI in Dentistry (Week 2 of 8)

DOI: 10.3390/children13010152 (MDPI)