Artificial intelligence makes glaucoma diagnosis more accurate

DOI: 10.1038 / s41598-018-38136-8 Now, researchers have developed a new method to help glaucoma patients understand the severity of their condition and determine for themselves whether eye surgery is requiredThe findings were published in the journal Scientific Reportsspecifically, glaucoma can lead to optic nerve degeneration, and an increase in intra-eye pressure causes changes in the iris cornea, leading to degenerationTherefore, the iris corneas are a key factor in assessing the severity of glaucomaPablo Amil of the University of Technology in Catalonia, Spain, has created a physical model that classifies the degree of closure of the iris corneaThis model can objectively show patients the severity of glaucoma and help them make informed surgical decisionsPablo Amil used artificial intelligence algorithms to create the first tomography for the diagnosis of glaucoma, using 1,000 images of iridocornealHe then classified the condition according to the severity (severe, moderate, and mild) and arranged it on the grid, comparing it with 160 diagnoses made by an ophthalmologistIt was found that the model created by Pablo Amil was broadly consistent with the severity of the ophthalmologist's diagnosis"In terms of diagnosis, ophthalmologists have only one tomography image of the patient's eye, showing the state of the iris cornea," said Pablo Amil,of the angle of the iris angle of theof theirisIf the angle is off, the drainage of the fluid in the eye is blocked, and the eye pressure rise doctor usually gives a fairly accurate diagnosis, but patients lack the comparative tools to help them decide whether they need surgeryMy work will enable patients to easily and objectively compare the severity of their condition through images and help them decide whether to undergo surgerythis new approach was developed within the framework of the Be-Optical project in Europe In the medium to long term, Amil's model will be incorporated into a new tomography technique that will immediately show patients the severity of their glaucoma The owner of the patent has begun the process of industrialization, hoping to contribute to the early detection of eye diseases References: s1 s- the first tomography map foring glaucoma 2? Unfod feature of anterior chamber OCT s for ordering and classification original title: quick glances - When artificial intelligence meets glaucoma, diagnostics are more accurate