AI Identifies Whether a Patient is a Good Candidate for Laser Eye Surgery - Docwire News

Machine learning AI has recently been used to distinguish between patients who are fit for corneal refractive surgery and those who are likely to experience post-operative complications. The referral for this procedure often goes misdiagnosed, but by using AI, these researchers have potentially created an accurate screening tool for the surgery. Their work was published on June 20 in the journal npj Digital Medicine. Refractive surgery, such as LASIK, utilize lasers to reshape the cornea in treating conditions such as near and farsightedness, and astigmatism. It is essential to screen candidates for these operations to prevent adverse outcomes, but there are no existing screening methods that address the possibility of improper diagnosis.