Diagnostic Imaging's Advances in AI: August 2022

Researchers found that ultra-high resolution photon-counting significantly enhanced visualization of small vessels and facilitated improved reduction of blooming artifacts for head and neck computed tomography angiography (CTA) scans.

In the third episode of a three-part podcast, Anand Narayan, M.D., Ph.D., and Amy Patel, M.D., discuss the challenges of expanded breast cancer screening amid a backdrop of radiologist shortages and ever-increasing volume on radiology worklists.

Based off rapid magnetic resonance imaging (MRI), the AI-enabled MuscleView reportedly offers 3D analysis of muscle volume, muscle asymmetry and intramuscular fat.

An interview with two experts to discuss newly released guidance for using standardized MRI protocols for patients with this condition.

Is it plausible that the current emphasis on spending what it takes to recruit and retain radiologists in a thriving job market shifts to more and more of a dependence on AI?

While staffing shortages in radiology continue to persist after the COVID-19 pandemic, current and emerging innovations powered by artificial intelligence (AI) may help facilities navigate these challenges and mitigate rising costs of health care.