Stanford University researchers have produced a convolutional neural network capable of finding most of 14 different disease states—nearly everything from pneumonia to lung cancer—on chest x-rays.

A team of researchers used MRI brain scans to predict which patients would develop dementia within three years and were nearly 90 percent accurate, according to a small study presented at RSNA 2018 in Chicago.

“Selection of appropriate diagnostic imaging examinations is a critical step in the diagnostic pathway, however, trainees demonstrate widely variable knowledge of appropriate imaging, particularly pertaining to imaging pregnant patients,” Thaddeus D. Hollingsworth, MD, and colleagues wrote, in a recent study.

New research presented at RSNA 2018 in Chicago suggested women 75 years and older should continue to get annual screening mammograms due to the high incidence of breast cancer found in this population.

MRI scans using diffusion tensor imaging (DTI) show potential for predicting if a patient will develop Alzheimer’s disease later in life, according to findings to be presented at RSNA 2018 in Chicago.

With the help of machine learning, researchers were able to train a computer to analyze breast cancer images and classify tumors accurately, according to a study published in NPJ Breast Cancer.

Ezra, a New York City-based artificial intelligence (AI) startup, has secured $4 million in funding for its new direct-to-consumer prostate cancer screening program.

After receiving FDA clearance for AI software that can detect brain bleeds from CT images, MaxQ AI has announced a deal to integrate the software with medical imaging platforms.