AIMC Topic: Intubation, Intratracheal
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Emerging technologies in airway management: a narrative review of intubation robotics and anatomical structure recognition algorithms.
Biomedical engineering online
Jun 24, 2025
In recent years, the medical field has seen significant advancements in the field of robotics and artificial intelligence (AI). However, many healthcare professionals still find these technologies unfamiliar and complex, especially regarding their us...
Performance of machine learning models in predicting difficult laryngoscopy in the emergency department: a single-centre retrospective study comparing with conventional regression method.
BMC emergency medicine
Feb 21, 2025
BACKGROUND: Emergency endotracheal intubation is a critical skill for managing airway emergencies in the emergency department (ED). Accurate prediction of difficult laryngoscopy is essential for improving first-attempt success, minimizing complicatio...
The Future of Artificial Intelligence Using Images and Clinical Assessment for Difficult Airway Management.
Anesthesia and analgesia
Jan 10, 2025
Artificial intelligence (AI) algorithms, particularly deep learning, are automatic and sophisticated methods that recognize complex patterns in imaging data providing high qualitative assessments. Several machine-learning and deep-learning models usi...
Unravelling intubation challenges: a machine learning approach incorporating multiple predictive parameters.
BMC anesthesiology
Dec 18, 2024
BACKGROUND: To protect patients during anesthesia, difficult airway management is a serious issue that needs to be carefully planned for and carried out. Machine learning prediction tools have recently become increasingly common in medicine, frequent...
Glottic opening detection using deep learning for neonatal intubation with video laryngoscopy.
Journal of perinatology : official journal of the California Perinatal Association
Nov 13, 2024
OBJECTIVE: This study aimed to develop an artificial intelligence (AI) method to augment video laryngoscopy (VL) by automating the detection of the glottic opening in neonates, as a step toward future studies on improving intubation outcomes.
Development and external validation of an interpretable machine learning model for the prediction of intubation in the intensive care unit.
Scientific reports
Nov 8, 2024
Given the limited capacity to accurately determine the necessity for intubation in intensive care unit settings, this study aimed to develop and externally validate an interpretable machine learning model capable of predicting the need for intubation...
Explainable artificial intelligence (XAI) for predicting the need for intubation in methanol-poisoned patients: a study comparing deep and machine learning models.
Scientific reports
Jul 8, 2024
The need for intubation in methanol-poisoned patients, if not predicted in time, can lead to irreparable complications and even death. Artificial intelligence (AI) techniques like machine learning (ML) and deep learning (DL) greatly aid in accurately...
Improving difficult direct laryngoscopy prediction using deep learning and minimal image analysis: a single-center prospective study.
Scientific reports
Jun 20, 2024
Accurate prediction of difficult direct laryngoscopy (DDL) is essential to ensure optimal airway management and patient safety. The present study proposed an AI model that would accurately predict DDL using a small number of bedside pictures of the p...
A review of the current status and progress in difficult airway assessment research.
European journal of medical research
Mar 13, 2024
A difficult airway is a situation in which an anesthesiologist with more than 5 years of experience encounters difficulty with intubation or mask ventilation. According to the 2022 American Society of Anesthesiologists Practice Guidelines for the Man...
Reliable prediction of difficult airway for tracheal intubation from patient preoperative photographs by machine learning methods.
Computer methods and programs in biomedicine
Mar 12, 2024
BACKGROUND: Estimating the risk of a difficult tracheal intubation should help clinicians in better anaesthesia planning, to maximize patient safety. Routine bedside screenings suffer from low sensitivity.
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