AIDOT Co., Ltd. (CEO Jaehoon Jung), a medical AI specialist, announced that research on its AI-based urinary stone diagnostic solution, URO dot AI, has been officially published in the international urology journal Urolithiasis. The published study analyzes the accuracy of urinary stone size measurement using CT images. The paper, entitled “Comparison of actual and automated CT measurements of urinary stone size: a phantom study,” compares the accuracy of manual and automated measurements on CT images for urinary stone phantoms of various densities (100, 1000, 3000 HU) and sizes created with 3D printing. The research was jointly conducted by Professor Jaewon Oh’s team at Hanyang University’s Emergency Medicine Department and Professor Donggun Lee’s team at Seoul National University Bundang Hospital’s Emergency Medicine Department. The results showed that, for the most common stone density (1000 HU), the automated measurement using URO dot AI demonstrated higher accuracy than manual measurements by medical professionals. AIDOT CEO Jaehoon Jung commented, “With this publication, the clinical effectiveness and technological excellence of URO dot AI have been officially recognized by the international academic community. We expect this to contribute to improved diagnostic accuracy for urinary stones and increased automation in medical practice in the future.” AIDOT also stated, “We are expanding the development of URO dot AI to an X-ray-based platform and are accelerating domestic and international commercialization, aiming to lead the realization of patient-centered precision medicine with various medical imaging AI solutions.” 

Korea Economic TV / 2025.04.22 / Deputy Director Yang Jae-jun