ARTIFICIAL INTELLIGENCE CONSIDIDERED FOR REFRACTIVE SURGERY DIAGNOSTICS

AI is being considered for use as a refractive surgery diagnostic tool. Marcony Santhiago, MD, said that “A robust [#machinelearning] process generally includes building new variables, which means feature engineering… thus, a better identification of patients at higher risk becomes possible regardless of the cut-off point associated with each one of the features.” Santhiago previously used AI in ophthalmology in a study to identify the early forms of keratoconus – an eye disease which impacts the structure of the cornea. He said, “AI can be used as a diagnostic aid for specific diseases by recognising topographic patterns, finding interactions between topographic and tomographic indexes, and detecting early signs of disease evolution”, suggesting it will be possible to bring AI into refractive surgery diagnostics.

A couple of months ago we highlighted the advancements in Artificial Intelligence in optometry, including: Heru - The Wearable Diagnostic and Vision Augmentation Leaders, who announced their visual field results from its innovative vision diagnostics and augmentation leader were very similar to those of ZEISS Medical Technology Humphrey Field Analyser (HFA) regarding patients with glaucoma and neuro-ophthalmic diseases.

I also wrote on AI in ophthalmology in 2019, where Moorfields Eye Hospital, London, working with Google’s DeepMind project, were taking OTC scans of the back of the eye in order to detect geographic atrophy, showing it is possible to use AI as a diagnostic tool. It is clear year on year the huge potential for AI in #eyecare and #ophthalmology is being realised.

REF - https://www.healio.com/news/ophthalmology/20211129/artificial-intelligence-may-play-role-in-refractive-surgery-diagnostics