Charles E. Kahn, Jr., MD, MS, editor of the the RSNA  journal Radiology: Artificial Intelligence, and professor and vice chair of radiology at the University of Pennsylvania Perelman School of Medicine, discusses the need to validate AI algorithms with your own patient population data.  

Surgeons and other interventionalists who tapped an academic radiology department’s 3D printing service to plan and practice upcoming procedures saved almost half an hour per operation over the course of a year. 

Keith J. Dreyer, DO, PhD, FACR, American College of Radiology (ACR) Data Science Institute Chief Science Officer, explains the state of AI in radiology in 2022. 

Keith J. Dreyer, DO, PhD, FACR, American College of Radiology (ACR) Data Science Institute Chief Science Officer, explains how radiology vendors have developed AI app stores to make it easier to access new FDA cleared AI algorithms.
 

Radiology business developments that broke softly this week but may soon make waves ... 

Siemens Healthineers has successfully integrated image-reconstruction software developed by a U.S. healthcare AI startup to increase sharpness and decrease noise in MR images captured during fast scanning sequences.

Editor David Bluemke, MD, PhD, says the journal’s rising impact factor is “representative of the fundamental importance of imaging throughout our hospitals and clinics.”

The capability could allow immediate alerting of CT technologists, who would adjust scan protocols or re-scan patients to optimize image quality prior to physician interpretation.