Multimodal artificial intelligence for retinal detachment diagnosis using fundus imaging and patient questionnaires
Integrating fundus imaging with patient questionnaire data significantly improves AI-based RD diagnosis. Future research needs to focus on expanding the dataset and refining the questionnaire design to further improve model performance.
Authors
- Naofumi Ishitobi
- Yuji Ayatsuka
- Yorikatsu Omi
- Hitoshi Tabuchi (ORCID: https://orcid.org/0000-0002-9098-0430)
- Hodaka Deguchi
- Hisataka Maruyama (ORCID: https://orcid.org/0000-0002-8902-883X)
- Mao Tanabe
- Naoyuki Yonemaru (ORCID: https://orcid.org/0009-0000-8745-8214)
Institutions
- Hiroshima University (JP)
- Hyogo Brain and Heart Center (JP)
- Tokyo University of Marine Science and Technology (JP)
- Hyogo University (JP)
Publication Details
- Journal
- British Journal of Ophthalmology
- Published
- 2025-11-06
- DOI
- https://doi.org/10.1136/bjo-2025-327506
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00