Researchers at the Icahn School of Medicine at Mount Sinai in New York City found convolutional neural networks (CNNs) trained to detect pneumonia on chest x-rays performed poorly when tested on data from outside health systems, according to a study published online Nov. 6 in PLOS Medicine.

On average, China has two physicians for every 1,000 people and an upwards of 300 million people suffer from chronic diseases, thereby further burdening an already overworked workforce, according to a news report from digital outlet Brink Asia.

Imperial College London announced its plans to open the London Medical Imaging and Artificial Intelligence Center for Value-Based Healthcare thanks to £10 million ($13 million) in recently awarded funds, according to a university news release published Nov. 6.

Harvard University researchers used novel molecular imaging technology to make a first-of-its-kind “cellular atlas,” covering a key area in the brain to help study the genetic makeup and function of cells, according to research published online Nov. 1 in Science.

A deep learning algorithm developed using imaging data from more than 1,000 Alzheimer’s disease (AD) patients can accurately predict the presence of AD more than six years before a doctor finalizes a diagnosis, researchers reported in Radiology Nov. 6.

A new artificial intelligence (AI) algorithm trained on 18-F-fluorodeoxyglucose PET (18FDG-PET) scans can predict the occurrence of Alzheimer’s disease at least six years before diagnosis with 100 percent sensitivity, according to research published Nov. 6 in Radiology.

A 17-year-old Minnesota native has designed a virtual reality (VR) game to help prepare kids for MRI exams and alleviate pre-scan anxiety, according to an article published Nov. 4 by the Twin Cities Pioneer Press in Minnesota.

Artificial intelligence (AI) can help predict how a breast tumor will respond to neoadjuvant chemotherapy (NAC), according to new findings published in the Journal of Digital Imaging.