AI for a clear eye: Revolutionizing refractive surgery
Year: 2025
Type: article
Abstract: Advancements in Artificial Intelligence (AI) and Machine Learning (ML) have significantly impacted the field of ophthalmology, particularly in the treatment of refractive errors and cataracts, which are major causes of treatable blindness. With groundbreaking advancements in refractive surgery, including phakic intraocular lenses and LASER Vision Correction (LVC) surgeries—such as flap-based procedures(LASIK), surface procedures(PRK, LASEK), and lenticule extraction procedures—AI-driven innovations have emerged as transformative techniques. There are multiple Kerato Lenticule Extraction (KLEx) surgeries available now - SMILE, SILK, CLEAR and SmartSight. These advancements aim to enhance precision, reduce risk, and improve efficiency in correcting vision impairments like myopia, hyperopia, and astigmatism. AI's role in preoperative screening, surgical planning, and postoperative care promises clearer vision and an improved quality of life for numerous individuals. This article reviews the integration of AI in refractive surgery, highlighting its contributions to patient outcomes and the future potential of AI in ophthalmology.
Source: Kerala Journal of Ophthalmology
Author: John Davis Akkara
Institution: Chaithanya Eye Hospital and Research Institute
Language: English
Subfield: Radiology, Nuclear Medicine and Imaging
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4409623726