Comparison of different corneal imaging modalities using artificial intelligence for diagnosis of keratoconus: a systematic review and meta-analysis.

Hassan HashemiFarideh DoroodgarSana NiaziMehdi KhabazkhoobZahra Heidari

Published in: Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie (2023)

Simultaneous Scheimpflug and Placido corneal imaging methods provide high diagnostic accuracy for early detection of keratoconus. The use of AI models improves the discrimination of keratoconic eyes from normal corneas.

Keyphrases

artificial intelligence
optical coherence tomography
machine learning
high resolution
big data
deep learning
cataract surgery
wound healing
fluorescence imaging
mass spectrometry
photodynamic therapy
clinical evaluation