YOLO + fine-tuned MedGemma caries detection pipeline

Three-stage pipeline for automated dental analysis on panoramic X-rays quadrant detection, tooth enumeration, and pathology classification (caries, deep caries, periapical lesions, impacted teeth) using the DENTEX dataset.

PyTorch Lightning implementation of a 5-class dental pathology segmentation system using a U-Net with a pre-trained ResNet34 backbone, joint Dice-CE loss, and power-law smoothed class weighting.

Overjet is a dental AI platform that applies FDA-cleared computer vision to dental radiographs (bitewings, periapicals, panoramics, and CBCT) to detect, outline, and quantify oral health conditions - caries, calculus, bone level and bone loss, periapical radiolucencies (PARLs), and anatomical structures - for dental providers, DSOs, and insurance…