Utility of artificial intelligence for the diagnosis, prognosis, and management of central serous chorioretinopathy: a narrative review
José Ignacio Fernández-Vigo, Alicia Valverde-Megías, Bárbara Burgos-Blasco, José Joaquim de Moura Ramos, Fernando Ly-Yang · 2026
Read Utility of artificial intelligence for the diagnosis, prognosis, and management of central serous chorioretinopathy: a narrative review by José Ignacio Fernández-Vigo, Alicia Valverde-Megías, Bárbara Burgos-Blasco, José Joaquim de Moura Ramos, Fernando Ly-Yang (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13411760.txt.
Description
Jose Ignacio Fernandez-Vigo and colleagues reviewed in 2026 how artificial intelligence can help with central serous chorioretinopathy, a retina condition that blurs vision in working-age adults. Current care leans on eye scans and light therapy. Readings vary between clinicians and treatment choices stay hard to tailor.
Computer models read scan types with high accuracy on test sets, flagged markers of fluid and recurrence, and showed promise for guiding light therapy and follow-up. The review also warns that biased data, weak outside testing, and unclear rules still block routine use, so readers get both the promise and the homework.
Catalog record
| CREATOR | José Ignacio Fernández-Vigo, Alicia Valverde-Megías, Bárbara Burgos-Blasco, José Joaquim de Moura Ramos, Fernando Ly-Yang |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 53 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |