Pearl Introduction

Pearl's technology utilizes Generative Adversarial Network pre-processors to enhance image quality, ensuring that radiologic analysis can be completed even with degraded or over/underexposed x-rays. Computer vision segmentation models distinguish individual tooth parts and supporting structures, providing localizing insights into detected conditions. Image preprocessors and expertly trained radiologic machine vision models work together to detect pathologic, restorative, and anatomical features in dental x-rays. The system's detection and segmentation capabilities assess the size of anatomical structures and the scope of decay, enabling dentists to make more informed treatment decisions.