Radioeye

RadioEye was born from an expert radiologist’s desire to improve accuracy and efficiency in the interpretation of orbital radiological imaging. Finding the correct diagnosis can be a time-consuming and laborious process in daily clinical practice, especially with difficult MRI cases. Even worse, a misdiagnosis can potentially lead to costly delays in treatment, unnecessary biopsies, poor patient outcomes, and significantly higher costs to the healthcare system. RadioEye offers an AI-based image-search functionality to rapidly find similar cases in the extensive database based on image features alone for comparison and decision-making by the radiologist. With RadioEye, the radiologist can easily swipe through images and compare them to the case at hand. RadioEye is easily and conveniently integrated into the user’s PACS system, and accessible with only one click from the PACs screen.