Researchers at Mass General Brigham have developed a series of artificial intelligence (AI) tools that uses machine learning to identify individuals who may be at risk for intimate partner violence ...

Researchers say AI-powered retinal scans can help detect glaucoma early and expand screening in areas with few eye specialists ...

Discover how AI healthcare technology and machine learning diagnosis are transforming disease detection, improving accuracy, and reshaping patient care in today's evolving medical landscape.

AI-powered polarized retinal imaging detects protein deposits linked to neurodegenerative diseases, distinguishing Alzheimer’s from ALS and related disorders with high accuracy, enabling earlier ...

Researchers develop a 96% accurate AI-powered retinal scan to distinguish between Alzheimer’s and ALS by detecting specific protein deposits.

A retinal image could help doctors quickly distinguish between similar neurodegenerative diseases such as ALS and Alzheimer's disease, and with ...

Dr. Melanie Campbell and graduate student Lyndsy Acheson study an image of a retina. They are looking for protein deposits found in association with brain diseases, such as Alzheimer's, FTLD-TDP and ...

Researchers developed a machine learning model that analyzes 3D CT scans to identify anatomy, predict diagnosis codes, and ...

Sentinel-2 multispectral satellite imagery has been used to spot sugarcane disease well before it would normally reveal itself.

Researchers at the Johns Hopkins Kimmel Cancer Center report that an artificial intelligence (AI)-based liquid biopsy test ...

The saliva circulating in your mouth contains troves of microbial information about the rest of your body and is easier to collect than blood samples. Today, a few drops of spit can help detect ...