Predicting Refractive Surgery Outcome: Machine Learning Approach With Big Data

Corneal surgical correction of refractive errors is a widely performed procedure, with more than 200 million surgeries performed worldwide.1 Advances in technology such as corneal reshaping laser systems and eye tracking software have led to unprecedented successful results and a high degree of patient satisfaction.2 However, in some cases, undesired outcomes may lead to additional interventions.3 Identifying patients in whom achieving good surgical outcomes is less likely may be beneficial for both the patient and the surgeon. Indeed, several clinical factors affecting surgical outcome have
Source: Journal of Refractive Surgery - Category: Opthalmology Authors: Source Type: research