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Artificial Intelligence Analysis of General Medicine in Japan: Present and Future Considerations
Nozomi Aoki;
Taiju Miyagami;
Mizue Saita;
Toshio Naito
ABSTRACT
This paper presents an interpretation of artificial intelligence (AI)-generated depictions of the present and future of general medicine in Japan. Using text inputs, the AI tool generated fictitious images based on neural network analyses. We believe that our study makes a significant contribution to the literature because the direction of general medicine in Japan has long been unclear, despite constant discussion. Our AI analysis shows that Japanese medicine is currently plagued by issues with polypharmacy, likely because of the aging patient population. Additionally, the analysis indicated a gross underrepresentation of women in medicine, and we discuss a need to include greater representation of women as a means to improve outcomes, particularly in older patients.
Citation
Please cite as:
Aoki N, Miyagami T, Saita M, Naito T
AI Analysis of General Medicine in Japan: Present and Future Considerations