Google’s AI research group has shown that deep-learning algorithms can fine-tune ophthalmologists’ diagnosis of diabetic retinopathy on retinal fundus photographs, according to a study slated for publication in Ophthalmology. In the study, the physicians using the algorithm bested both AI alone and unassisted physicians on accuracy.

Researchers can more accurately and comprehensively study the brain with a novel concept known as diattenuation imaging (DI)—a neuroimaging method that allows scientists to measure the polarization-dependent attenuation of light throughout different parts of the brain—according to a study published in Scientific Reports.

When manually corrected by radiologists, an AI system for automatically detecting and segmenting colorectal metastases in the liver can improve interpretative efficiency, according to a study published online March 13 in Radiology: Artificial Intelligence.

Radiology patients are confident artificial intelligence will improve healthcare workflow and efficiency, but they’re skeptical of the tech itself and remain unsure of how AI will factor into the patient experience, according to a study published online March 14 in the Journal of the American College of Radiology.

On scans from several different MRI techniques, regular alcohol consumption correlates with regional changes in the brain as well as with various cognitive abilities. And those most sensitive to alcohol’s viewable and observable effects are men and individuals whose faces blush upon intake.

What do patients think about the use of artificial intelligence (AI) in radiology? A new study published in the Journal of the American College of Radiology addressed that very question.

Family physicians as well as medical students appreciate the opportunity to bone up on radiology via online classrooms using the popular Second Life platform. And while doctors tend to immerse themselves in the process with somewhat lower intensity, all seem to readily take to radiology training with avatars and other features of the virtual world. 

Deep Medicine, a new book from cardiologist Eric Topol, MD, explores the evolving relationship between artificial intelligence (AI) and healthcare. The New York Times interviewed Topol about the book, and AI’s impact on radiology was one of the first topics that came up.