A research team led by two University of Maine Ph.D. students developed an artificial intelligence (AI) system that could ...

Ischemic stroke, which occurs when a blood vessel in the brain gets blocked by a clot, is among the leading causes of death worldwide. Fortunately, surgeons now have access to advanced imaging ...

White matter hyperintensities (WMHs) on fluid-attenuated inversion recovery (FLAIR) images are imaging features in various neurological diseases and essential markers for clinical impairment and ...

Pralohith Reddy Chinthalapelly, a Senior Data Science Analyst, advances AI in medical research through deep learning organ ...

A recent Scientific Reports study discusses the potential of retinal fundus imaging as a diagnostic screening modality for Parkinson's disease (PD). Study: Deep learning predicts prevalent and ...

Melanoma remains one of the hardest skin cancers to diagnose because it often mimics harmless moles or lesions. While most ...

Electroencephalography (EEG) is a fascinating noninvasive technique that measures and records the brain's electrical activity. It detects small electrical signals produced when neurons in the brain ...

Researchers trained and validated a deep learning model that can detect subtle changes across post-treatment brain scans and forecast glioma recurrence with up to 89 percent accuracy. Artificial ...

Deep Genomics is taking two emerging technologies—which in recent years have captured the public’s attention for different reasons—and is finding they can work great together. The company has put ...

This study is led by Professor Wanneng Yang (National Key Laboratory of Crop Genetic Improvement, National Center of Plant Gene Research, Hubei ...