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

NCT05207254 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 4000

Last updated 2022-07-13

No results posted yet for this study

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.

Conditions

  • Difficult Airways

Interventions

DIAGNOSTIC_TEST

Ultrasonic test

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

Sponsors & Collaborators

  • Shanghai Ninth People's Hospital Affiliated to Shanghai Jiao Tong University

    lead OTHER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2021-12-18
Primary Completion
2025-12-01
Completion
2025-12-30

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05207254 on ClinicalTrials.gov