Using machine learning to analyze eye scans can help detect slight changes that may be early signs of multiple sclerosis (MS), potentially aiding in early diagnosis of the disease, a study found.
The study, “SLO-Net: Enhancing Multiple Sclerosis Diagnosis Beyond Optical Coherence Tomography Using Infrared Reflectance Scanning Laser Ophthalmoscopy Images,” was published in Artificial Intelligence.
MS is caused by inflammation in the brain and spinal cord. In most patients, the disease causes some amount of damage to cells in the eyes, and a building body of research is exploring whether eye-related changes may help diagnose MS… Read full story HERE