For the study, researchers had five diabetes specialists judge precision AI tools developed from a large, longitudinal dataset of patients’ individually expressed needs. 

Healthcare may finally have struck a healthy balance between AI hype and AI reality, according to a report from impartial observers who are also, indirectly at least, healthcare AI stakeholders.

AI shines in radiology when tasked with interpreting images of patients whose odds of illness are either very high or very low. In these cases, the technology could help mitigate burnout and supplement staffing. 

Is AI changing the profession of nursing—or are nurses changing AI? 

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. 

As AI continues its march through healthcare organizations around the world, the notion that it will replace the sector’s human workers fades but does not disappear. 

The National Academy of Medicine considers some pertinent ins and outs of GenAI. 

Monoclonal antibody therapies will be the first drugs permitted to take advantage of alternatives, including advanced lab simulations and artificial intelligence. A pilot framework to phase out the decades-long requirement for animal testing will be rolled out in the coming year, the FDA said.