AIRWAY MANAGEMENT

This study develops a tool using 3D-CT scans to predict if infants with Pierre Robin sequence (a condition where the jaw is small and the tongue falls back) will have a difficult time placing a breathing tube during surgery. Researchers will measure two specific airway features o…

This study looks at information from 1,785 patients who had a breathing tube placed for surgery. The goal is to create a standard digital alert card that tells future doctors if a patient had a difficult airway before. This could help them plan safer anesthesia and avoid emergenc…

This study aims to create a new, more accurate scoring system to predict when a patient might have trouble breathing through a facemask during anesthesia. Researchers will analyze data from 423 adults undergoing surgery to identify key warning signs. The goal is to help doctors p…

This study compares virtual reality (VR) training to traditional mannequin training for teaching medical students how to manage airway injuries. About 40 medical students will be randomly assigned to learn using VR or a mannequin, then tested a week later. The goal is to see if V…

This study compares two types of video laryngoscopes—tools that help doctors place a breathing tube during surgery. Researchers will measure how long it takes, how often it works on the first try, and any complications. The goal is to find which device is faster and easier for ai…

This study collects data from 4,300 emergency patients in Andalusia who needed help breathing (like a breathing tube or mask). The goal is to track how often the first attempt at placing a tube succeeds and to build an AI tool that predicts difficult cases. By learning from real-…