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Accepted for/Published in: JMIR Formative Research

Date Submitted: Sep 8, 2023
Date Accepted: Feb 19, 2024

The final, peer-reviewed published version of this preprint can be found here:

AI Analysis of General Medicine in Japan: Present and Future Considerations

Miyagami T, Aoki N, Saita M, Naito T

AI Analysis of General Medicine in Japan: Present and Future Considerations

JMIR Form Res 2024;8:e52566

DOI: 10.2196/52566

PMID: 38551640

PMCID: 11015361

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

Artificial Intelligence Analysis of General Medicine in Japan: Present and Future Considerations

  • Taiju Miyagami; 
  • Nozomi Aoki; 
  • 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:

Miyagami T, Aoki N, Saita M, Naito T

AI Analysis of General Medicine in Japan: Present and Future Considerations

JMIR Form Res 2024;8:e52566

DOI: 10.2196/52566

PMID: 38551640

PMCID: 11015361

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