Multimodal AI in retinal disease: from images to decisions and real-world endpoints

Kai Jin, Andrzej Grzybowski

Open source

DOI: 10.1007/s10792-026-04254-w
Published: 2026-09-07
Container: International Ophthalmology
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/s10792-026-04254-w,
  title = {Multimodal AI in retinal disease: from images to decisions and real-world endpoints},
  author = {Kai Jin and Andrzej Grzybowski},
  year = {2026},
  journal = {International Ophthalmology},
  doi = {10.1007/s10792-026-04254-w},
  url = {https://doi.org/10.1007/s10792-026-04254-w}
}

RIS

TY  - JOUR
TI  - Multimodal AI in retinal disease: from images to decisions and real-world endpoints
AU  - Kai Jin
AU  - Andrzej Grzybowski
PY  - 2026
JO  - International Ophthalmology
DO  - 10.1007/s10792-026-04254-w
UR  - https://doi.org/10.1007/s10792-026-04254-w
ER  -

APA

Jin, K., & Grzybowski, A. (2026). Multimodal AI in retinal disease: from images to decisions and real-world endpoints. International Ophthalmology. https://doi.org/10.1007/s10792-026-04254-w

Source records

crossref · retrieved 2026-09-26T01:20:21.971Z