An artificial intelligence (AI) algorithm improved the performance of nonradiology physicians and even thoracic radiologists for detecting malignant pulmonary nodules on chest radiographs. By Erik L. Ridley, AuntMinnie staff writer

Microbleeds in the blood-brain barrier could lead to the infiltration of Alzheimer's disease-causing amyloid plaque, according to a University of Southern California. By AuntMinnie.com staff writers

The situation could be turned around if radiology programs use residents to train others in the performance and interpretation of MSK ultrasound scans. By Kate Madden Yee, AuntMinnie.com staff writer

Researchers from the U.K. have developed an artificial intelligence (AI) algorithm capable of accurately detecting and rating the severity of brain lesions on CT scans of patients presenting with stroke or dementia. By Abraham Kim, AuntMinnie.com staff writer

Yes, artificial intelligence (AI) will likely be a useful adjunct for radiologists and increase their productivity. But AI's greatest effect may be to usher in a new role for radiologists as information managers by Erik L. Ridley, AuntMinnie

RSNA 2017 Video: How will radiologists do their jobs in the future? Addressed by Dr. Elliot Fishman of Johns Hopkins University from www.auntminnie.com

The past year has witnessed huge advances in the development of artificial intelligence (AI) for healthcare applications. What impact will this new generation of AI software have on radiology? Dr. Paul Chang of the University of Chicago offers his thoughts in this interview. From www.auntminnie.com

Radiologists are being told they need to interact more with patients, but this is easier said than done. What are the barriers that can impede radiologist-patient interaction, and how can they be overcome? Dr. Jennifer Kemp of Diversified Radiology in Colorado gives some suggestions. From www.auntminnie.com