A Novel Artificial Intelligence System for Endotracheal Intubation
Jestin Carlson, Samarjit Das, Fernando de la Torre, Adam Frisch, Francis Guyette, Jessica Hodgins
Pre-hospital Emergency Care (March 17, 2016)

Adequate visualization of the glottic opening is a key factor to successful endotracheal intubation (ETI); however, few objective tools exist to help guide providers’ ETI attempts toward the glottic opening in real-time. Machine learning/artificial intelligence has helped to automate the detection of other visual structures but its utility with ETI is unknown. We sought to test the accuracy of various computer algorithms in identifying the glottic opening, creating a tool that could aid successful intubation.

Jestin Carlson, Samarjit Das, Fernando de la Torre, Adam Frisch, Francis Guyette, Jessica Hodgins (March 17, 2016). A Novel Artificial Intelligence System for Endotracheal Intubation. Pre-hospital Emergency Care, 20(5).

@article{Hodgins:2017:DOE,
author={Jestin Carlson, Samarjit Das, Fernando de la Torre, Adam Frisch, Francis Guyette, Jessica Hodgins},
title={A Novel Artificial Intelligence System for Endotracheal Intubation},
journal={Pre-hospital Emergency Care},
volume={20},
number={5},
year={March 17, 2016},
links={http://www.tandfonline.com/doi/abs/10.3109/10903127.2016.1139220}