AI Analysis of General Medicine in Japan: Present and Future Considerations
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 con...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
JMIR Publications
2024-03-01
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| Series: | JMIR Formative Research |
| Online Access: | https://formative.jmir.org/2024/1/e52566 |
| _version_ | 1797234800143106048 |
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| author | Nozomi Aoki Taiju Miyagami Mizue Saita Toshio Naito |
| author_facet | Nozomi Aoki Taiju Miyagami Mizue Saita Toshio Naito |
| author_sort | Nozomi Aoki |
| collection | DOAJ |
| description |
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 distressed female physician and evoked a sense of anxiety about the future of female physicians. It discusses whether the ability to encourage the success of female physicians is a turning point for the future of medicine in Japan. |
| first_indexed | 2024-04-24T16:37:49Z |
| format | Article |
| id | doaj.art-e754d5fad7a94173b7ce6a17d2b7368b |
| institution | Directory Open Access Journal |
| issn | 2561-326X |
| language | English |
| last_indexed | 2024-04-24T16:37:49Z |
| publishDate | 2024-03-01 |
| publisher | JMIR Publications |
| record_format | Article |
| series | JMIR Formative Research |
| spelling | doaj.art-e754d5fad7a94173b7ce6a17d2b7368b2024-03-29T13:00:55ZengJMIR PublicationsJMIR Formative Research2561-326X2024-03-018e5256610.2196/52566AI Analysis of General Medicine in Japan: Present and Future ConsiderationsNozomi Aokihttps://orcid.org/0000-0003-4659-9162Taiju Miyagamihttps://orcid.org/0000-0002-4893-2224Mizue Saitahttps://orcid.org/0000-0001-8438-0845Toshio Naitohttps://orcid.org/0000-0003-1646-9930 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 distressed female physician and evoked a sense of anxiety about the future of female physicians. It discusses whether the ability to encourage the success of female physicians is a turning point for the future of medicine in Japan.https://formative.jmir.org/2024/1/e52566 |
| spellingShingle | Nozomi Aoki Taiju Miyagami Mizue Saita Toshio Naito AI Analysis of General Medicine in Japan: Present and Future Considerations JMIR Formative Research |
| title | AI Analysis of General Medicine in Japan: Present and Future Considerations |
| title_full | AI Analysis of General Medicine in Japan: Present and Future Considerations |
| title_fullStr | AI Analysis of General Medicine in Japan: Present and Future Considerations |
| title_full_unstemmed | AI Analysis of General Medicine in Japan: Present and Future Considerations |
| title_short | AI Analysis of General Medicine in Japan: Present and Future Considerations |
| title_sort | ai analysis of general medicine in japan present and future considerations |
| url | https://formative.jmir.org/2024/1/e52566 |
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