Abstract
Artificial intelligence (AI) technology is proving to be promising in the field of healthcare, especially in the areas relying on big data and image‐based analysis. In Ophthalmology, AI was already tested in majority of subspecialities, including cataract and refractive surgery. There were interesting studies showing the benefits of using AI algorithms in early keratoconus detection, to predict the outcomes of laser refractive surgery, and to cataract surgery training and monitoring. Moreover, AI models using fundus images to diagnose and grade cataract have been developed. New intraocular lens (IOL) formulas are applying big data and computational methodologies to achieve better prediction of targeted refraction and simplify the IOL selection process. Recent developments in AI have shown their potential possibility for the diagnosis and management of paediatric cataract using slit‐lamp images.
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