False Positives, Overtreatment, and the Crisis of Trust in Dental AI

An in-depth clinical and technical investigation into why first-generation dental AI generates rampant false positives, how DSO business models weaponized production metrics, and the path forward for ethical, conservative dentistry.

Caries, RBL & Margin Detection: The Clinical Limits of AI in 2D Radiographs

An in-depth clinical analysis of 2D radiographic gray zones—cervical burnout, anatomical overlaps, restoration artifacts—and how AI morphology segmentation supports objective diagnosis.

Building Dental AI: 6 Months of Deep Learning Breakthroughs in Radiographic Diagnostics

An inside look at our 6-month journey developing deep learning models for dental radiology—from dataset curation and Mask R-CNN vs. YOLOv11 benchmarks to automated AAP periodontal staging and 18-PA FMX sequencing.