A new paper in the Journal of the American College of Radiology digs into the emergence of physician assistants and nurse practitioners in radiology and how it has impacted clinical and procedural volumes and imaging interpretation.

To promote the legitimacy of their products, companies most often tout their partnerships with medical and academic institutions, in addition to their applications’ legal approvals.

Julius Bogdan, vice president and general manager of the HIMSS Digital Health Advisory Team for North America, explains considerations for healthcare IT teams on the implementation of artificial intelligence (AI).

As artificial intelligence (AI) adoption expands in radiology, there is growing concern that AI algorithms need to undergo quality assurance (QA) reviews.

The experts maintained that these MRI parameters support the diagnosis of IIH in clinically suspicious cases and could help reduce the use of invasive procedures when aligned with symptoms.

Bibb Allen, MD, FACR, Chief Medical Officer of the American College of Radiology (ACR) Data Science Institute, and former ACR president, explains how hospitals or radiology departments can conduct quality assurance assessments on artificial intelligence algorithms they adopt to ensure they are accurate. 

When applied to MRI and clinical features, different machine learning models were recently shown to reliably predict post-treatment recurrences of hepatocellular carcinoma. 

The authors of the new study noted that, even before the pandemic, consultant breast radiologists were among the most in-demand specialists. The loss of interest in it as a specialty due to COVID will inevitably pose further challenges for recruitment.

The new findings findings represent “a step toward improved tumor diagnoses," according to authors of a new study published in JAMA.

Many women who receive their mammogram results on the same day as their exam report feeling better about their overall experience.