REASON: Probability map-guided dual-branch fusion framework for gastric content assessment
PositiveArtificial Intelligence
A new framework called REASON has been developed to improve the assessment of gastric content using ultrasound, which is essential for evaluating aspiration risk during anesthesia. Traditional methods are often inefficient and inaccurate, but this innovative two-stage approach promises to enhance both the speed and precision of gastric evaluations. This advancement is significant as it could lead to safer anesthesia practices and better patient outcomes.
— Curated by the World Pulse Now AI Editorial System



