Using AI to improve ultrasound assessment of difficult airways
Research on the Application of Artificial Intelligence Ultrasonic Recognition
This study is testing whether using artificial intelligence to analyze ultrasound images can help doctors better predict and manage difficult airways during anesthesia.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 4000 (estimated) |
| Ages | 18 Years and up |
| Sex | All |
| Sponsor | Shanghai Ninth People's Hospital Affiliated to Shanghai Jiao Tong University Academic / other |
| Locations | 1 site (Shanghai, Shanghai) |
| Trial ID | NCT05207254 on ClinicalTrials.gov |
What this trial studies
This study explores the use of artificial intelligence technology to analyze ultrasound features in patients undergoing tracheal intubation under general anesthesia. By evaluating the correlation between these ultrasound features and the occurrence of difficult airways, the researchers aim to develop diagnostic models that enhance early warning systems for difficult airway management. The approach is observational, focusing on extracting and analyzing data from ultrasound tests to improve clinical outcomes in anesthesia. The ultimate goal is to create a more intelligent and accurate method for predicting difficult airways.
Who should consider this trial
Good fit: Ideal candidates are adults aged 18 and older who are classified as ASA 1-3 and are scheduled for tracheal intubation under general anesthesia.
Not a fit: Patients with communication barriers, open head and neck trauma, cervical spine issues, or those requiring emergency surgery may not benefit from this study.
Why it matters
Potential benefit: If successful, this could lead to more accurate predictions of difficult airways, improving patient safety during anesthesia.
How similar studies have performed: While this approach is novel, there is limited existing research on the use of AI in ultrasound assessments for difficult airways, indicating potential for groundbreaking advancements.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * ASA classification is 1-3 * Patients who intend to undergo tracheal intubation under general anesthesia * Age ≥ 18 years old Exclusion Criteria: * Patients with speech communication and cooperation barriers; * Patients with open head and neck trauma * Patients with cervical spine fractures or cervical spine diseases; * Emergency surgery; * Patients who are allergic to related drugs.
Where this trial is running
Shanghai, Shanghai
- Shanghai 9Th Hospital — Shanghai, Shanghai, China (Recruiting)
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.