The European Society of Radiology (ESR) and GE Healthcare have announced a new partnership focused on artificial intelligence (AI) for the European Congress of Radiology (ECR) 2019 in Vienna, Austria. 

A new artificial intelligence (AI) algorithm developed by Canadian researchers can detect evidence of cognitive decline in brain MRI scans, genetics and clinical data, and may predict whether findings will lead to Alzheimer’s disease five years before symptoms appear.

A machine learning tool developed by researchers at Michigan State University can accurately predict an individual’s height within an inch and may offer more precise CVD and cancer risk assessment in the future, according to a report featured this month in Genetics.

Determining how highly specialized surgeons and physicians learn new skills or respond to a stressful situation may be unveiled with recently published neuroimaging research, the Wall Street Journal reported on Oct. 3.

Kheiron Medical Technologies (Kheiron) has received CE certification for its new artificial intelligence (AI)-based breast screening software, making it the first U.K. company to receive such a designation for deep learning software in radiology.

In a recent institutional study, artificial intelligence (AI) was found to identify learning difficulties in children struggling in school not previously detected or that did not match an existing diagnosis—such as attention deficit hyperactivity disorder (ADHD), an autism spectrum disorder or dyslexia.

Facebook is planning to double the size of its Facebook Artificial Intelligence Research (FAIR) division by the year 2020 and grow to have 400 employees, according to a recent report by Forbes.

A team of U.S. researchers accurately trained a deep learning convolutional neural network (CNN) to classify three common dermatopathology diagnoses, according to recent research published in the Journal of Pathology Informatics.