Machine learning for the prediction of preclinical airway management in injured patients: a registry-based trial

André Luckscheiter, Wolfgang Zink, Torsten Lohs, Johanna Eisenberger, Manfred Thiel, Tim Viergutz

Clin Exp Emerg Med. 2022;9(4):304-313. Published online 2022 Nov 23 DOI: https://doi.org/10.15441/ceem.22.335

Citations to this article as recorded by

Development and Validation of a Bayesian Network Predicting Intubation Following Hospital Arrival Among Injured Children

Travis M. Sullivan, Mary S. Kim, Genevieve J. Sippel, Waverly V. Gestrich-Thompson, Caroline G. Melhado, Kristine L. Griffin, Suzanne M. Moody, Rajan K. Thakkar, Meera Kotagal, Aaron R. Jensen, Randall S. Burd

Journal of Pediatric Surgery.2025; 60(2): 161888. CrossRef

Human intention recognition for trauma resuscitation: An interpretable deep learning approach for medical process data

Keyi Li, Mary S. Kim, Wenjin Zhang, Sen Yang, Genevieve J. Sippel, Aleksandra Sarcevic, Randall S. Burd, Ivan Marsic

Journal of Biomedical Informatics.2025; 161: 104767. CrossRef

Deep Learning during burn prehospital care: An evolving perspective

Mohammad Vakili Ojarood, Ramyar Farzan, Seyed Mostafa Mohsenizadeh, Hossein Torabi, Tahereh Yaghoubi

Burns.2024; 50(5): 1349. CrossRef

Use of artificial intelligence to support prehospital traumatic injury care: A scoping review

Jake Toy, Jonathan Warren, Kelsey Wilhelm, Brant Putnam, Denise Whitfield, Marianne Gausche‐Hill, Nichole Bosson, Ross Donaldson, Shira Schlesinger, Tabitha Cheng, Craig Goolsby

Journal of the American College of Emergency Physicians Open.2024;[Epub] CrossRef

Unravelling intubation challenges: a machine learning approach incorporating multiple predictive parameters

Parisa Sezari, Zeinab Kohzadi, Ali Dabbagh, Alireza Jafari, Saba Khoshtinatan, Kamran Mottaghi, Zahra Kohzadi, Shahabedin Rahmatizadeh

BMC Anesthesiology.2024;[Epub] CrossRef