Skip to content

Research on the Application of Artificial Intelligence Ultrasonic Recognition Technology in Difficult Airway Assessment

Research on the Application of Artificial Intelligence Ultrasonic Recognition

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT05207254
Enrollment
4000
Registered
2022-01-26
Start date
2021-12-18
Completion date
2025-12-30
Last updated
2022-07-13

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Difficult Airways

Brief summary

Although there is no related research on the evaluation of difficult airways by ultrasound features based on artificial intelligence, the investigators guess that the evaluation of ultrasound features based on artificial intelligence can make further breakthroughs in difficult airway early warning systems. Therefore, this project intends to use AI technology to extract and analyze the ultrasound features of the subjects, evaluate the correlation between the ultrasound features of the subjects and the occurrence of difficult airways, and construct possible diagnostic models to evaluate AI ultrasound feature recognition in the prediction of difficult airways. The effect and application value of this method are expected to be more intelligent and accurate for early warning of difficult airways in clinical anesthesia.

Interventions

DIAGNOSTIC_TESTUltrasonic test

Ultrasonic test to the patient's head, neck and jaw area.

Sponsors

Shanghai Ninth People's Hospital Affiliated to Shanghai Jiao Tong University
Lead SponsorOTHER

Study design

Observational model
CASE_CONTROL
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

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.

Design outcomes

Primary

MeasureTime frameDescription
Diagnosed as a difficult airway0-10minutes after intubationCormack-Lehane was used for grading the best glottic view. In grade the entire glottis was visible; in grade 2 a portion of the glottis was visible; in grade 3 only the epiglottis could be seen; and in grade 4 the epiglottis was not visible. A score of 3-4 indicated difficult video laryngoscopy

Countries

China

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Jun 3, 2026