AI Analysis of General Medicine in Japan: Present and Future Considerations.
AI
Japan
Japanese
Pharmacology
artificial intelligence
elderly
gender
gender-biased
geriatric
hospitalists
medical care
medicine
older adults
physician
physicians
polypharmacy
sexism
women
Journal
JMIR formative research
ISSN: 2561-326X
Titre abrégé: JMIR Form Res
Pays: Canada
ID NLM: 101726394
Informations de publication
Date de publication:
29 Mar 2024
29 Mar 2024
Historique:
received:
08
09
2023
accepted:
19
02
2024
revised:
17
02
2024
medline:
29
3
2024
pubmed:
29
3
2024
entrez:
29
3
2024
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 38551640
pii: v8i1e52566
doi: 10.2196/52566
doi:
Types de publication
Journal Article
Langues
eng
Pagination
e52566Informations de copyright
©Nozomi Aoki, Taiju Miyagami, Mizue Saita, Toshio Naito. Originally published in JMIR Formative Research (https://formative.jmir.org), 29.03.2024.