Abstract

Objectives: In medical practice, diagnostic imaging is an effective tool allowing the early detection and effective treatment of diseases since healthcare professionals can easily obtain detailed internal information from a patient’s body. However, since professional image interpretation ability differs widely among healthcare professionals, a way must be found to efficiently learn image diagnosis.
Methods: We analyzed a huge number of cases from university hospitals and succeeded in structuring and defining the knowledge, experiential information and case data required for image diagnosis, into a data format that an AI computer program can process. By applying this data format, we developed and provided an online service allowing healthcare professionals to efficiently learn and master image diagnosis.
Results: The online service we developed has proved superior to the conventional learning methods and been successfully used both within Japan and overseas. After receiving both academic and social recognition for its excellent performance, the online service has been selected as the subject for promotion and commissioned projects both inside and outside Japan.
Conclusions: We believe that the spread of this online service will facilitate early detection of diseases and contribute to reducing the physical, economic, and mental burdens imposed not only on healthcare professionals but also on patients and their families.