Generative Adversarial Network pre-processors enhance images to ensure that radiologic analysis can be completed even when x-rays are degraded, over/underexposed or contain digital artifacts.
Computer vision segmentation models distinguish individual tooth parts and supporting structures to provide localizing insight on the nature and extent of detected conditions.
Image preprocessors and expertly trained radiologic machine vision models work in unison to detect pathologic, restorative and anatomical features found in dental x-rays.
Detection and segmentation capabilities work in unison to precisely assess the size of anatomical structures and progression of decay.
Our computer vision systems identify and measure the severity of the widest range of pathologic and restorative features detectable in radiographic and 3D dental imagery.
AI is only as good as its training. Our machine learning models are trained on – and continue to learn from – the world's largest collection of expertly annotated and curated radiographs.
Serving AI solutions is as much about attending to customer need as about technical ingenuity. Our team has been commercializing AI for satisfied customers - including many Fortune 100 companies - for over a decade.