A worldwide study, published in Current Problems in Diagnostic Radiology, revealed wide inconsistencies in reporting brain gadolinium deposition (GD) based on a lack of understanding and an effort to minimize anxiety in patients.

Seven Dutch and German authors outlined recent technological progressions—notably in diagnosis and therapy—which are slowly transitioning to clinical use and speculated on the future of ultrasound, in an article published in the Journal of Nuclear Medicine.

The hype around artificial intelligence (AI) in medical imaging has led to plenty of discussions of its impact in clinical and academic spaces. To explore current and future implementations of AI in medical imaging at academic institutions, Health Imaging spoke with Curtis Langlotz, MD, PhD, and Stanford University’s Medical Informatics Director for Radiology.

Health imaging data such as ultrasounds, mammograms, MRIs and PACS information is highly vulnerable to cybersecurity criminals, according to a recent McAfee security report.

Maryellen Giger, PhD, and professor of radiology at the University of Chicago discusses what must occur for machine learning to succeed in health imaging and what clinicians and patients should expect in the future from the synergy of medical imaging and artificial intelligence.

Published online in the Journal of Nuclear Medicine on March 9, a study assessed common regeneration principles in octopuses to potentially identify alternative therapeutic approaches in regenerative medicine.

As email, text alerts and other modern forms of communication become the norm, radiology departments cite phone calls as a frequent source of interruptions in radiology reporting rooms. Recent research published in Current Problems in Diagnostic Radiology provided five recommendations to educate referrers on how to eliminate unnecessary phone calls to radiology departments.

Diagnostic error remains a major setback to improving the quality of radiology and overall interpretation of imaging examinations. What consistently induces diagnostic error is a radiologist's cognitive bias, according to a recent article published in the American Journal of Roentgenology.

Washington University in St. Louis is set to become the second institution with a doctoral program dedicated to imaging science, with its inaugural class beginning in the fall. Mark Anastasio, PhD, the director of the new program, spoke with Health Imaging about the state of imaging education and incorporating artificial intelligence (AI) into its curriculum.

Effective communication between medical imaging providers and pediatric patients and guardians about radiation risks remains problematic, despite improvements in imaging technology and protocol optimization, according to an article published in the Journal of the American College of Radiology.