Endotracheal Intubation

Endotracheal intubation (ETI), the insertion of a tube into the windpipe to secure an airway, is a critical procedure requiring precise skill. Current research focuses on developing objective, automated assessment methods for ETI proficiency, leveraging deep learning techniques such as convolutional neural networks and autoencoders to analyze video and radiographic image data. These AI-driven approaches aim to improve training and reduce reliance on subjective human evaluation, ultimately enhancing patient safety and standardizing ETI competency assessment. The high accuracy achieved in identifying expert versus novice performance and successful versus unsuccessful intubations demonstrates the potential for significant impact on medical training and practice.