AIMC Topic: Intubation, Intratracheal

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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...
Artificial Intelligence Reproducibility of Results Humans Laryngoscopy Intubation, Intratracheal Laryngoscopes Time Factors Video Recording
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Deep Learning-Based Localization and Detection of Malpositioned Endotracheal Tube on Portable Supine Chest Radiographs in Intensive and Emergency Medicine: A Multicenter Retrospective Study.

Critical care medicine Dec 14, 2023
OBJECTIVES: We aimed to develop a computer-aided detection (CAD) system to localize and detect the malposition of endotracheal tubes (ETTs) on portable supine chest radiographs (CXRs).
Humans Retrospective Studies Deep Learning Emergency Medicine Hospitals, University Intubation, Intratracheal
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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...
Laryngoscopes Artificial Intelligence Deep Learning Humans Laryngoscopy Feasibility Studies Intubation, Intratracheal
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Editorial Comment: Artificial Intelligence for Detection of Endotracheal Tube Malposition-Augmented Rather Than Autonomous Radiology Interpretation.

AJR. American journal of roentgenology Oct 4, 2023
Radiography Radiology Humans Artificial Intelligence Patients Intubation, Intratracheal
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Artificial Intelligence for Assessment of Endotracheal Tube Position on Chest Radiographs: Validation in Patients From Two Institutions.

AJR. American journal of roentgenology Sep 13, 2023
Timely and accurate interpretation of chest radiographs obtained to evaluate endotracheal tube (ETT) position is important for facilitating prompt adjustment if needed. The purpose of our study was to evaluate the performance of a deep learning (DL...
Middle Aged Radiography Trachea Intubation, Intratracheal Aged Male Retrospective Studies Female Humans Artificial Intelligence
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Assessment of stress response due to C-Mac D-blade guided videolaryngoscopic endotracheal intubation and docking of da Vinci surgical robot using perfusion index in patients undergoing transoral robotic oncosurgery.

Journal of clinical monitoring and computing Apr 24, 2023
Clinical utility of perfusion index (PI) has entered a new realm as a non-invasive, quantitative index of stress response to endotracheal intubation. Transoral robotic surgery (TORS) involves F-K retractor aided docking of the surgical robot producin...
Adult Humans Cohort Studies Robotic Surgical Procedures Prospective Studies Intubation, Intratracheal Robotics Laryngoscopy Perfusion Index
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[Video-assisted Double-lumen Tubes in Robot-assisted Oesophageal Surgery].

Anasthesiologie, Intensivmedizin, Notfallmedizin, Schmerztherapie : AINS Apr 12, 2023
Robot-assisted esophagectomies are still considered high-risk procedures requiring complex surgical and anesthesiological planning and coordination. The operative space during the thoracic operative part is created by one-lung ventilation. Due to spe...
Esophagus Humans Intubation, Intratracheal Robotics One-Lung Ventilation
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Image augmentation and automated measurement of endotracheal-tube-to-carina distance on chest radiographs in intensive care unit using a deep learning model with external validation.

Critical care (London, England) Jan 25, 2023
BACKGROUND: Chest radiographs are routinely performed in intensive care unit (ICU) to confirm the correct position of an endotracheal tube (ETT) relative to the carina. However, their interpretation is often challenging and requires substantial time ...
Trachea Intubation, Intratracheal Intensive Care Units Humans Deep Learning Radiography
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3D CT-Inclusive Deep-Learning Model to Predict Mortality, ICU Admittance, and Intubation in COVID-19 Patients.

Journal of digital imaging Nov 30, 2022
Chest CT is a useful initial exam in patients with coronavirus disease 2019 (COVID-19) for assessing lung damage. AI-powered predictive models could be useful to better allocate resources in the midst of the pandemic. Our aim was to build a deep-lear...
Aged Humans Intubation, Intratracheal Deep Learning COVID-19 Retrospective Studies Intensive Care Units Tomography, X-Ray Computed SARS-CoV-2
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Critical element prediction of tracheal intubation difficulty: Automatic Mallampati classification by jointly using handcrafted and attention-based deep features.

Computers in biology and medicine Oct 4, 2022
Preoperative assessment of the difficulty of tracheal intubation is of great importance in anesthesia practice because failed intubation can lead to severe complications and even death. The Mallampati score is widely used as a critical assessment cri...
Artificial Intelligence Anesthesia Laryngoscopy Intubation, Intratracheal
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