Assessment of Preoperative Risk Factors for Post-LASIK Ectasia Development.

Mohamed Tarek El-Naggar Rania Serag ElkitkatHossam El-Din ZiadaLouise Pellegrino Gomes EsporcatteRenato Ambrósio

Published in: Clinical ophthalmology (Auckland, N.Z.) (2023)

Current ectasia risk assessment criteria were insufficient for detecting a relatively large number of cases. There is an unequivocal need for more information, which may be derived from biomechanical assessment and epithelial thickness mapping. Novel corneal tomography indices derived from artificial intelligence may increase accuracy in characterizing ectasia susceptibility.

Keyphrases

artificial intelligence
risk assessment
machine learning
big data
deep learning
optical coherence tomography
high resolution
patients undergoing
heavy metals
human health
health information
climate change
mass spectrometry
cataract surgery
finite element analysis
clinical evaluation