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[HTML][HTML] Antimicrobial solutions for endotracheal tubes in prevention of ventilator-associated pneumonia
Ventilator-associated pneumonia is one of the most frequently encountered hospital
infections and is an essential issue in the healthcare field. It is usually linked to a high …
infections and is an essential issue in the healthcare field. It is usually linked to a high …
Machine vision and image analysis in anesthesia: narrative review and future prospects
Abstract Machine vision describes the use of artificial intelligence to interpret, analyze, and
derive predictions from image or video data. Machine vision–based techniques are already …
derive predictions from image or video data. Machine vision–based techniques are already …
[HTML][HTML] Classification of central venous catheter tip position on chest x-ray using artificial intelligence
Recent studies utilizing deep convolutional neural networks (CNN) have described the
central venous catheter (CVC) on chest radiography images. However, there have been no …
central venous catheter (CVC) on chest radiography images. However, there have been no …
Development of an artificial intelligence–based image recognition system for time-sequence analysis of tracheal intubation
YH Wu, KY Huang, ACC Tseng - Anesthesia & Analgesia, 2024 - journals.lww.com
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 …
difficulties. However, large variations in TIT because of diverse initial and end targets make it …
Conv-MTD: A CNN Based Multi-Label Medical Tubes Detection and Classification Model to Facilitate Resource-constrained Point-of-care Devices
Computer-aided detection through deep learning is becoming a prevalent approach across
various fields, including detection of anomalies in medical procedures. One such medical …
various fields, including detection of anomalies in medical procedures. One such medical …
Advances in airway management in recent 10 years from 2013 to 2023
Y Liu, Y He, X Wang, J Li, Z Zhang, X Zhuang… - Anesthesiology and …, 2023 - Springer
Difficult airway management has been the focus in the field of anesthesiology. Clinical
research in difficult airway management has made some progress in the last 10 years. We …
research in difficult airway management has made some progress in the last 10 years. We …
The impact of endotracheal intubation on oxygen delivery, trachea pressure and wall deformation
This paper concerns improving endotracheal tube (ETT) insertion through advanced
computational science modelling. The study aims to better understand endotracheal …
computational science modelling. The study aims to better understand endotracheal …
Smart Endotracheal Intubation: Real-Time Visual Feedback and Edge Detection for Enhanced Procedure Guidance
Endotracheal intubation (ETI) is a medical procedure that has gained researchers' interest in
smart healthcare. Using endoscopy powered with Artificial Intelligence (AI) technology to …
smart healthcare. Using endoscopy powered with Artificial Intelligence (AI) technology to …
Smart Endotracheal Intubation Using Transfer Learning
Endotracheal intubation (ETI) is an essential medical method employed to ensure the
openness of the airway during acute diseases or anesthesia. Recent developments in …
openness of the airway during acute diseases or anesthesia. Recent developments in …
Automated Carina Detection in Chest X-ray Images Using Non-Overlap** and Cross-Squeeze Convolutional Neural Networks
A chest X-ray test is necessary to verify the correct positioning of several medical devices
and to check for any issues that may have resulted from improper placement. The trachea …
and to check for any issues that may have resulted from improper placement. The trachea …