Difficult Videolaryngoscopy

This multicentre observational study will collect clinical parameters, demographic data, and point-of-care airway ultrasound measurements from adult patients undergoing videolaryngoscopy across participating centres. The collected data will be analysed using artificial intelligence-based analytical approaches, including statistical and machine-learning techniques, to examine their association with predefined videolaryngoscopy-related outcomes.

This unicentric observational study collects clinical characteristics, demographic data, and point-of-care airway ultrasound measurements in patients undergoing videolaryngoscopy. These variables are analysed using machine-learning techniques to examine their association with predefined videolaryngoscopy-related outcomes, including blade performance and adjunct requirement.