An AI algorithm helped determine adult women’s brains are, on average, a few years younger than the brains of males of the same age, according to research published in the Proceedings of the National Academy of Sciences.
A deep learning model classified acute and nonacute pediatric elbow abnormalities on radiographs in trauma with 88 percent accuracy, according to new research published in Radiology: Artificial Intelligence.
Though AI continues to make great strides within radiology, some radiologists are still unprepared to educate medical students regarding its usage. This in turn may hinder medical students and trainees from pursuing radiology, according to a new editorial published in Academic Radiology.
The radiology department at the Antwerp University Hospital in Belgium has incorporated an Aidoc tool that uses AI to help radiologists make faster diagnoses from CT scans, the university announced Wednesday, Jan. 16.
Seventy-seven percent of imaging professionals said machine learning is important, according to a recent report by Reaction Data. The findings signal an increase in use and understanding of machine learning among imaging professionals in the healthcare industry.