AIMC Topic: Laryngoscopes
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A non-local dual-stream fusion network for laryngoscope recognition.
American journal of otolaryngology
Dec 17, 2024
PURPOSE: To use deep learning technology to design and implement a model that can automatically classify laryngoscope images and assist doctors in diagnosing laryngeal diseases.
Development of an Artificial Intelligence-Based Image Recognition System for Time-Sequence Analysis of Tracheal Intubation.
Anesthesia and analgesia
Feb 21, 2024
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) c...
Deep learning-based facial analysis for predicting difficult videolaryngoscopy: a feasibility study.
Anaesthesia
Dec 13, 2023
While videolaryngoscopy has resulted in better overall success rates of tracheal intubation, airway assessment is still an important prerequisite for safe airway management. This study aimed to create an artificial intelligence model to identify diff...
Single-Port Robotic Removal of a Submucosal Foreign Body in the Distal Hypopharynx.
The Laryngoscope
Jul 13, 2023
In this report, we present a 55-year-old female with cervical stenosis that underwent C5-C7 anterior cervical discectomy and fusion surgery complicated by hardware failure requiring removal. One screw remained after transcervical hardware removal due...
The Laryngoscope Welcomes High-Quality Research Employing Artificial Intelligence.
The Laryngoscope
Jul 23, 2022
Deep Learning Applied to White Light and Narrow Band Imaging Videolaryngoscopy: Toward Real-Time Laryngeal Cancer Detection.
The Laryngoscope
Nov 25, 2021
OBJECTIVES: To assess a new application of artificial intelligence for real-time detection of laryngeal squamous cell carcinoma (LSCC) in both white light (WL) and narrow-band imaging (NBI) videolaryngoscopies based on the You-Only-Look-Once (YOLO) d...
Automated tracheal intubation in an airway manikin using a robotic endoscope: a proof of concept study.
Anaesthesia
Jan 3, 2020
Robotic endoscope-automated via laryngeal imaging for tracheal intubation (REALITI) has been developed to enable automated tracheal intubation. This proof-of-concept study using a convenience sample of participants, comprised of trained anaesthetists...
An original design of remote robot-assisted intubation system.
Scientific reports
Sep 7, 2018
The success rate of pre-hospital endotracheal intubation (ETI) by paramedics is lower than physicians. We aimed to establish a remote robot-assisted intubation system (RRAIS) and expected it to improve success rate of pre-hospital ETI. To test the ro...
Development of a novel humanoid-robot simulator for endoscope with pharyngeal reflex and real-life responses.
Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society
Jun 7, 2018
[Comparison of different stylets used for intubation with the C-MAC D-Blade Videolaryngoscope: a randomized controlled study].
Revista brasileira de anestesiologia
May 17, 2017
OBJECTIVE: The angle of the C-MAC D-Blade videolaryngoscope, which is used for difficult airway interventions, is not compatible with routinely used endotracheal tubes.
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