Clinical Trial: Research on a Machine Learning-Based Predictive Model for Difficult Intubation Using Specific Vocal Characteristics

U.S., Dec. 12 -- ClinicalTrials.gov registry received information related to the study (NCT07278232) titled 'Research on a Machine Learning-Based Predictive Model for Difficult Intubation Using Specific Vocal Characteristics' on Nov. 29.

Brief Summary: 1. Study Purpose This research aims to develop a novel, non-invasive, and simple method to predict difficult intubation before surgery. The core idea is that the anatomy of a person's throat and mouth, which determines the ease of intubation, also uniquely shapes their voice.

By analyzing the acoustic features of specific vowel sounds using machine learning, we seek to identify voice patterns associated with difficult airways. The ultimate goal is to create a tool that allows for a quick, p...