The rapid development of artificial intelligence (AI) technology is due to the significant
progress in big data, databases, algorithms, and computing power, and medical research is …

Airway management is a vital part of anesthesia practices, intensive care units, and
emergency departments, and a proper pre-operative assessment can guide clinicians' plans …

Background Difficult airway conditions represent a substantial challenge for clinicians.
Predicting such conditions is essential for subsequent treatment planning, but the reported …

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 …

A wide range of airway devices and techniques have been created to enhance the safety of
airway management. However, airway management remains a challenge. All techniques …

Background: A reliable anticipation of a difficult airway may notably enhance safety during
anaesthesia. In current practice, clinicians use bedside screenings by manual …

Unanticipated difficult laryngoscopy is associated with serious airway‐related complications.
We aimed to develop and test a convolutional neural network‐based deep‐learning model …

Background The difficult airway is a topic of concern for any physician performing intubation.
Severe adverse events which can happen because of an unexpected difficult airway …

AI is a field of study that encompasses a combination of disciplines as disparate as computer
science, psychology, user experience, ergonomics, and engineering. The ultimate goal of AI …

The integration of artificial intelligence (AI) in anesthesiology holds significant promise for
enhancing patient outcomes through improved preoperative assessments, intraoperative …