Development of an Artificial Intelligence-Based Image Recognition System for Time-Sequence Analysis of Tracheal Intubation.

Background: Total intubation time (TIT) is an objective indicator of tracheal intubation (TI) difficulties. However, large variations in TIT because of diverse initial and end targets make it difficult to compare studies. A video laryngoscope (VLS) can capture images during the TI process.

An initial learning experience of tracheal intubation with video laryngoscope: Experiences from a novice PGY.

Tracheal intubation is an essential technique for many healthcare professionals and one of the mega code simulations in advanced cardiac life support. In recent years, video laryngoscopy (VL) has provided a rescue for difficult airways during intubation and has proven to have higher success rates. Moreover, VL facilitates a more rapid learning curve for inexperienced doctors.