Overjet

Overjet combines deep convolutional vision networks with physics-grounded mathematical models to detect and measure oral diseases with absolute reproducibility. The system operates on its proprietary IRIS core, processing raw image pixels from any standard sensor hardware to automatically outline pathologies and quantify bone level metrics in millimeters. By cross-referencing diagnostic finding arrays with payer logic rules simultaneously, it builds a common language between providers, patients, and insurers. For active dental practices, this digital framework eliminates communication and administrative delays completely. When a patient completes their standard imaging sequence, the background matching layers parse for over ten distinct FDA-cleared indications, populating your charting dashboard with precise visual indications in seconds. This automated tracking loop accelerates case presentations, driving up overall practice treatment acceptance rates by an average of twenty-five percent. This ecosystem scales across massive healthcare enterprises by offering extensive backend tracking utilities like DSO Analytics. It allows operational directors to audit historical patient records across hundreds of locations passively, revealing uncompleted treatment options and pinpointing workflow variation metrics across specific clinics. One honest operational reality to keep in mind is that the software is built for deep workflow optimization rather than acting as a simple, passive viewer plug-in. Because the platform unifies imaging analysis, real-time insurance validation, and automated medical coding on one surface, maximizing its true clinical return-on-investment requires structured initial staff training and alignment across your hygiene and administrative departments during the first few weeks of deployment.