AI technology is on the verge of transforming eye care by aiding in the diagnosis of infectious keratitis, a major cause of corneal blindness, with accuracy comparable to eye specialists.

Eye care specialists could see artificial intelligence help in diagnosing infectious keratitis (IK), a leading cause of corneal blindness worldwide, as a new study finds that deep learning models showed similar levels of accuracy in identifying infection.

A pioneering study published in the International Journal of Molecular Sciences by researchers at Durham University has revealed promising results for a new treatment targeting motor neurone disease (MND).

This study highlights the efficacy of home-based tDCS in treating major depressive disorder, with significant improvements in depressive symptoms and remission.

Researchers developed an AI-based deep learning model that uses retinal images to detect early-stage Alzheimer's disease and mild cognitive impairment with high accuracy, offering a noninvasive, cost-effective screening tool.

A device that delivers direct stimulation to the brain was found to be a safe and effective means of treating depression at home, according to a new study by researchers at UTHealth Houston; the Institute of Psychiatry, Psychology & Neuroscience at King's College London; and the University of East London.

Harvard Medical School unveils an AI digital pathology tool that outperforms state-of-the-art deep learning methods, detecting multiple cancer types with up to 96 percent accuracy.

A new PET scan reliably detects benign tumors in the pancreas, according to research led by Radboud university medical center.

Myasthenia gravis (MG) is a chronic autoimmune disorder in which antibodies block communication between nerves and muscle, resulting in weakness of the skeletal muscles.

Developed by Harvard Medical School, CHIEF was trained on 44 terabytes of data, to make it extremely good at detecting tumors.

A wearable, non-invasive brain-computer interface (BCI) that quickly measures neural activity while the user plays through a video-game 'test' is helping clinicians more accurately diagnose attention-deficit/hyperactivity disorder (ADHD). While still in the research stage, this novel invention is showing a lot of promise in removing the gray area of ADHD diagnosis.