Nihin Media Inc., in collaboration with Professor Ken Yamamoto of the Faculty of Health Data Science, Juntendo University, conducted a project to create examples of how MedGen Japan, an AI assistant for Japanese doctors, can be used by radiologists.
As a result, we created a system that assists radiologists in creating differential diagnosis lists by inputting image findings as text.
The labor issues facing doctors are serious, and the situation has not been resolved even after the start of the work style reform. There is a chronic shortage of doctors, especially in the field of radiology.
MedGen Japan aims to develop AI that helps doctors, not replace them, and in this case they created an example of how the technology can be used to help radiologists in diagnostic imaging.
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In differential diagnosis using images, experienced doctors evaluate the possibility of each disease based on their knowledge of various diseases. On the other hand, if the knowledge is insufficient, they will reach a conclusion while researching the literature to prevent any omissions. Even this manual literature search is not easy unless you have a certain level of knowledge, even if you have a hypothesis and perform an appropriate keyword search.
In response to this, we undertook a project aimed at making the process of discovering the above-mentioned literature more efficient by using AI to calculate relevance and weighting multiple other parameters, thereby significantly improving the efficiency of doctors’ knowledge input.
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