Unveiling the Influence of AI on Advancements in Respiratory Care: Narrative Review.

Background: Artificial intelligence is experiencing rapid growth, with continual innovation and advancements in the health care field.

Objective: This study aims to evaluate the application of artificial intelligence technologies across various domains of respiratory care.

Methods: We conducted a narrative review to examine the latest advancements in the use of artificial intelligence in the field of respiratory care.

High oxygen fraction during airway opening is key to effective airway rescue in obese subjects.

Apnea is common after induction of anesthesia and may produce dangerous hypoxemia, particularly in obese subjects. Optimal management of airway emergencies in obese, apneic subjects is complex and controversial, and clinical studies of rescue strategies are inherently difficult and ethically-challenging to perform. We investigated rescue strategies in various degrees of obesity, using a highly-integrated, computational model of the pulmonary and cardiovascular systems, configured against data from 8 virtual subjects (body mass index [BMI] 24-57 kg m).