AI clinical decision support was particularly popular among younger radiologists, experts wrote in Scientific Reports. 

Registered nurses, NPs and EMTs bolstered the quality of their scans with the help of deep learning-based guidance.

The generated report included indication, findings laid out numerically, TNM stage, impression and follow-up recommendations.

A whopping 94% of health leaders in the survey said they plan to invest in software this year, partly to fend off clinician burnout and a looming recession.

The model estimated mortality risk for more than 244,000 patients in Alberta, Canada, who had an ECG taken after a related health incident. 

When used to flag anomalies in combined chest and musculoskeletal X-rays, imaging AI can relieve overstretched emergency radiology teams.

The findings contradict prior research that utilized the same software, experts involved in the research noted. This could be due to out-of-distribution data for the DL software, which could impair its performance. 

Cardiology has the second largest number of FDA-cleared AI algorithms, and many of them are for cardiac ultrasound. Echocardiography expert Patricia A. Pellikka, MD, discusses this trend and how AI is helping improve echo.