By automating repetitive tasks and ensuring consistent “QC,” well-deployed AI not only unburdens healthcare professionals but also sets new standards for efficiency and reliability in medical practice. 

The advanced machine learning model tracks more than 50 different factors to make its predictions. It has already been found to be more accurate than popular prediction methods for heart disease that are currently available. 

However, it’s still uncertain whether the Trump administration will follow through with the new HHS policy update. 

“Incorporating patient perspectives into AI implementation strategies ensures that these technologies improve and not hinder patient care," one expert contends. 

“Incorporating patient perspectives into AI implementation strategies ensures that these technologies improve and not hinder patient care."

“This is the perfect technique to identify high-risk patients who would benefit from intensive therapies,” imaging specialist Gudrun Feuchtner, MD, told Cardiovascular Business.

Emory University radiologists recently sought to improve the readability of their recall messages, asking the large language model for help. 

AI may finally end the paper chase caused by prior authorization. Or it may worsen it.