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

Recruitingn/aAges 15 Years - 70 YearsAllShanghai Jiao Tong University Affiliated Sixth Pe…
NCT07278232 on ClinicalTrials.gov ↗
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In plain words

What the trial is, and whether it could suit you

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, painless pre-operative risk assessment, enhancing patient safety by better preparing anesthesiologists. 2. Study Design This is a prospective, observational, single-center study. It is purely observational and does not involve any changes to standard medical care or anesthesia procedures. 3. Participants We plan to enroll 300 patients. Who can join: Patients aged 15-70 scheduled for elective surgery

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📋 Eligibility rules (as published)
Inclusion Criteria: * Patients scheduled for elective general anesthesia with tracheal intubation. Exclusion Criteria: * Patients with speech and pronunciation disorders (vocal cord diseases, cleft palate, craniofacial deformities, extensive tooth defects, cleft lip). * Hearing impairment (difficulty in communication, inaccurate repetition). * Patients with central nervous system diseases causing significant pronunciation abnormalities. * Patients contraindicated for direct laryngoscopy (e.g., post-chemotherapy in the pharynx, diseases prone to mucosal bleeding, etc.) that affect group allocation, as well as those unable to complete the recording or temporarily reassigned to other anesthesia methods.
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What it tests

  • No Intervention: Observational Cohort
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Where

1 site
Shanghai Sixth People's Hospital Affiliated with Shanghai Jiao Tong University School of Medicine
Shanghai, China
🤝 Taking part is your choice, and you can leave at any time. Only the trial team can confirm you are eligible — always decide together with your own doctor.
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