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

NCT ID: NCT05207254

Last Updated: 2022-07-13

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

RECRUITING

Total Enrollment

4000 participants

Study Classification

OBSERVATIONAL

Study Start Date

2021-12-18

Study Completion Date

2025-12-30

Brief Summary

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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.

Detailed Description

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Conditions

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Difficult Airways

Study Design

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Observational Model Type

CASE_CONTROL

Study Time Perspective

PROSPECTIVE

Study Groups

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difficult airway

C-L≥3 grade

Ultrasonic test

Intervention Type DIAGNOSTIC_TEST

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

none difficult airway

C-L\<3 grade

Ultrasonic test

Intervention Type DIAGNOSTIC_TEST

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

Interventions

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Ultrasonic test

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

Intervention Type DIAGNOSTIC_TEST

Eligibility Criteria

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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.
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Locations

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Shanghai 9Th Hospital

Shanghai, Shanghai Municipality, China

Site Status RECRUITING

Countries

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China

Facility Contacts

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Hong Jiang

Role: primary

+8615121007303

Other Identifiers

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SH9H-2021-T356-2

Identifier Type: -

Identifier Source: org_study_id

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