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Leveraging large scale deep learning models for diagnosis and visual outcome prediction in retinitis pigmentosa.

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Title: Leveraging large scale deep learning models for diagnosis and visual outcome prediction in retinitis pigmentosa.
Authors: Nagai T; Department of Ophthalmology and Visual Science, Graduate School of Medicine, Chiba University, Chiba, Japan., Homma K; Department of Artificial Intelligence Medicine, Graduate School of Medicine, Chiba University, Chiba, Japan., Kawamata Y; Department of Ophthalmology and Visual Science, Graduate School of Medicine, Chiba University, Chiba, Japan., Yoshihara M; Department of Artificial Intelligence Medicine, Graduate School of Medicine, Chiba University, Chiba, Japan.; Institute for Advanced Academic Research (IAAR), Chiba University, Chiba, Japan., Kawakami E; Department of Artificial Intelligence Medicine, Graduate School of Medicine, Chiba University, Chiba, Japan. eiryo.kawakami@chiba-u.jp.; Institute for Advanced Academic Research (IAAR), Chiba University, Chiba, Japan. eiryo.kawakami@chiba-u.jp.; Advanced Data Science Project (ADSP), RIKEN Information R&D and Strategy Headquarters, RIKEN, Yokohama, Kanagawa, Japan. eiryo.kawakami@chiba-u.jp., Baba T; Department of Ophthalmology and Visual Science, Graduate School of Medicine, Chiba University, Chiba, Japan. t.baba.oph@faculty.chiba-u.jp.
Source: NPJ digital medicine [NPJ Digit Med] 2026 Jan 08; Vol. 9 (1), pp. 137. Date of Electronic Publication: 2026 Jan 08.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101731738 Publication Model: Electronic Cited Medium: Internet ISSN: 2398-6352 (Electronic) Linking ISSN: 23986352 NLM ISO Abbreviation: NPJ Digit Med Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2398-6352
DOI:10.1038/s41746-025-02311-9