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.

For patients with wrist movement abnormalities, four-dimensional CT imaging during radioulnar deviation could improve diagnosis of suspected scapholunate ligament tears and injuries, according to research published online Sept. 25 in Radiology.

An agreement between artificial intelligence (AI) startup Paige.AI and Memorial Sloan Kettering Cancer Center in New York is drawing backlash over the company’s exclusive rights to the cancer center’s 25 million pathology slide images, the New York Times reported.

A cancer center’s fundraising campaign will no longer focus on the use of artificial intelligence (AI) in cancer treatments following accusations it commercialized the work of employees for private gain, according to a report by The New York Times and ProPublica.