AIMC Journal:
Advances in ophthalmology practice and research

Showing 1 to 2 of 2 articles

Deep learning models for predicting opaque bubble layer morphology of keratorefractive lenticule extraction before laser scanning.

Advances in ophthalmology practice and research
PURPOSES: To develop deep learning (DL) models for predicting opaque bubble layer (OBL) morphology and area before femtosecond laser scanning in keratorefractive lenticule extraction (KLEx) procedures. METHODS: A total of 10276 frames from 5138 KLEx ...

A systematic review of vision and vision-language foundation models in ophthalmology.

Advances in ophthalmology practice and research
BACKGROUND: Vision and vision-language foundation models, a subset of advanced artificial intelligence (AI) frameworks, have shown transformative potential in various medical fields. In ophthalmology, these models, particularly large language models ...