caries

🦷 Interactive SVG-based dental odontogram & periodontal charting editor for React + TypeScript — multi-surface caries/restorations, endo/prosthetics, a full periodontal (perio) charting module, HL7 FHIR R4 export/import, ICDAS, 11 UI languages. 💻 Published on npm as react-advanced-odontogram.

Logiciel de détection, localisation & segmentation de carries sur des radiographies dentaires.

🦷 Interactive SVG-based dental odontogram & periodontal charting editor for Angular + TypeScript — multi-surface caries/restorations, endo/prosthetics, a full periodontal (perio) charting module, HL7 FHIR R4 export/import, ICDAS. Angular port of React-Odontogram-Modul. 💻 Published on npm as angular-advanced-odontogram.

🦷 Build interactive, fast odontogram editors with layered SVGs for detailed dental charting and clinical status customization.

This study proposes a deep learning-based object detection framework utilizing YOLOv11 to automate the identification and classification of three common dental lesion types which are caries, gingivitis, and white spot lesions, using high-resolution intraoral photographic images.

DentalCare_AI is a research backed dental intelligence and oral health education platform. Built on evidence based dentistry and clinical practice guidelines, it provides oral disease information, dental assessments, emergency recognition, treatment references, printable reports with privacy first local processing. Fully offline-capable. share it.