Prediction of chronic central serous chorioretinopathy through combined manual annotation and AI-assisted volume measurement of flat irregular pigment epithelium.

Lorenzo Ferro DesideriDavide ScandellaLieselotte BergerRaphael SznitmanMartin ZinkernagelRodrigo Anguita

Published in: Ophthalmologica. Journal international d'ophtalmologie. International journal of ophthalmology. Zeitschrift fur Augenheilkunde (2024)

While more evidence is needed to confirm the effectiveness of AI-based PED quantitative analysis, this study highlights the significance of identifying flat irregular PEDs at the earliest stage possible in patients with CSC, to optimize patient management and long-term visual outcomes.

Keyphrases

artificial intelligence
randomized controlled trial
high grade
systematic review
case report
type diabetes
weight loss
skeletal muscle