Hospital executives find themselves in a challenging position—pay big bucks for hard-to-find medications or risk letting their patients down. 

The new and improved AI-based language model outperformed human clinicians in a new study published in JAMA Network Open.

“If we can deploy our model on a population-level ECG screening, we would be able to pick up many more of these patients before they have irreversible damage,” a cardiologist behind the new study explained. 

Buzzworthy developments of the past few days.

A team of specialists tracked CT utilization before, during and after the 2022 shortage, sharing its findings in the American Journal of Neuroradiology.

Serious discrepancies between preliminary imaging reads and final radiology reports are at risk of accumulating when the prelims are rendered during overnight hours. 

The funding is a response to the escalating demand for registered nurses, nurse practitioners, certified nurse midwives and nurse faculty throughout the United States. 

The new-look AI model was designed to automatically evaluate ECGs for signs of HCM and send alerts to the care team when necessary.