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.

“We wanted to develop an anthropomorphic phantom head to help us better understand these issues by providing a safer way to test the imaging. We use the device to analyze, evaluate and calibrate the MRI systems and instrumentation before testing new protocols on human subjects,” Tamer Ibrahim, PhD, and co-creator said.

A deep learning-based automatic detection algorithm (DLAD) detected malignant pulmonary nodules on chest x-rays better than radiologists, according to a Sept. 25 study in Radiology.

The Butterfly Network, makers of the innovative iPhone ultrasound-on-chip named Butterfly iQ, announced it has raised $250 million to start shipping to 40 million healthcare practitioners globally, according to a report published Sept. 26 by Business Insider.