Previous research has shown that resistance to medical AI may be caused by difficulty in understanding both algorithms and human decision-making in healthcare.
As IR procedure volumes continue to climb, coupled with anesthesiology provider shortages, there is growing interest in achieving “deeper, more reliable sedation.”
A new analysis claims the “benchmark” qualifying payment amount insurers calculate often “dramatically” understates the actual median in-network rates they are paying for in-network care.
The group was recently asked to provide input on a new set of recommendations for image-guided biopsies of suspicious breast lesions—offering providers clarity on key clinical scenarios.
The decision to utilize such scans is challenging for emergency providers, with the condition most often of benign origin, according to new research published in the journal of Emergency Radiology.
Thanks to AI, clinicians can use mammograms to do a lot more than identify signs of breast cancer. Researchers explored data from nearly 50,000 patients, presenting their findings in Heart.
