Deep learning for video-based assessment of endotracheal intubation skills
Abstract Background Endotracheal intubation (ETI) is an emergency procedure performed in civilians and combat casualty care settings to establish an airway. It’s crucial that healthcare personnel are proficient in these skills, which traditionally have been evaluated through direct feedback from exp...
Saved in:
| Main Authors: | Jean-Paul Ainam, Erim Yanik, Rahul Rahul, Taylor Kunkes, Lora Cavuoto, Brian Clemency, Kaori Tanaka, Matthew Hackett, Jack Norfleet, Suvranu De |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-04-01
|
| Series: | Communications Medicine |
| Online Access: | https://doi.org/10.1038/s43856-025-00776-z |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A pilot study on physiological indicators of expertise in pre-hospital emergency medical services (EMS) providers during endotracheal intubation
by: Gabriel Gazetta, et al.
Published: (2025-06-01) -
Current overview of awake, non-intubated, video-assisted
thoracic surgery
by: Fazli Yanik
Published: (2023-06-01) -
Endotracheal Intubation Done in Field Conditions of Restrained Space
by: S. Gavrilovic, et al.
Published: (2010-06-01) -
Clinical application of submandibular endotracheal intubation in craniomaxillofacial fracture
by: Kaifang Yuan, et al.
Published: (2024-12-01) -
Impact of bed angle and height on intubation success during simulated endotracheal intubation in the ramped position
by: Dhimitri A. Nikolla, et al.
Published: (2020-06-01)