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Researchers at Stanford University School of Medicine have developed a new artificial intelligence (AI) algorithm that can identify whether or not a patient is at risk of developing familial hypercholesterolemia (FH), a cholesterol-raising genetic disease, with up to 88% accuracy.

US-based medical technology firm iCAD is set to partner with two researchers at the Karolinska Institutet in Sweden on the development of an artificial intelligence (AI)-based system to detect individual risk of breast cancer development.

A team at IBM Research Australia is developing a blood test to detect early stage Alzheimer's disease. Led by researcher Ben Goudey, the team used artificial intelligence (AI) technology to identify a set of proteins in blood that could predict amyloid-beta concentration in spinal fluid.

Researchers at the University of Michigan Kellogg Eye Center have demonstrated the effectiveness of a smartphone technology which combines high-quality retinal imaging with artificial intelligence (AI) to enable the early detection of diabetic retinopathy (DR).