Research on Early Warning and Solution System of Difficult Airway in Perioperative Period Based on Artificial Intelligence
NCT ID: NCT04458220
Last Updated: 2023-08-01
Study Results
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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UNKNOWN
16000 participants
OBSERVATIONAL
2020-07-30
2025-05-30
Brief Summary
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Anesthesiologist will give every patient an endotracheal intubation as planned. After that the anesthesiologist will be asked to fill out the questionnaire immediately.This questionnaire allows obtaining a ground truth for the intubation difficulty.All data will be used for AI deep learning and intelligent analysis,Several of the most relevant landmarks will be selected to build an early warning model.The overall study did not involve any intervention in the process of anaesthesia and operation of the patients, only the three-dimensional facial images of the patients were obtained, without any trauma or injury.
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Detailed Description
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Conditions
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Study Design
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CASE_CONTROL
CROSS_SECTIONAL
Study Groups
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difficult airway
C-L≥Ⅲ grade
photo and voice obtained
The 3D face scanner and camera is used to obtain 3D or 2-dimensional portrait images of patients in different positions and from different angles.The Hi-Fi Recorder is used to obtain sound samples of patients in different word.
none difficult airway
C-L\<Ⅲgrade
photo and voice obtained
The 3D face scanner and camera is used to obtain 3D or 2-dimensional portrait images of patients in different positions and from different angles.The Hi-Fi Recorder is used to obtain sound samples of patients in different word.
Interventions
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photo and voice obtained
The 3D face scanner and camera is used to obtain 3D or 2-dimensional portrait images of patients in different positions and from different angles.The Hi-Fi Recorder is used to obtain sound samples of patients in different word.
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
* Patients with language deficiency or non-native language.
* Patients with mental or central nervous system disease.
* Patients with stupefaction or disturbance of consciousness.
* Patients with terrible injury.
* Patients cannot follow instructions to perform standard actions.
* Patients participated in other relevant clinical investigation in the past 3 months.
ALL
Yes
Sponsors
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Shanghai Ninth People's Hospital Affiliated to Shanghai Jiao Tong University
OTHER
Responsible Party
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Principal Investigators
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Hong Jiang, Dr
Role: STUDY_CHAIR
The Ninth People's Hospital of Shanghai Jiaotong University School of Medicine
Locations
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The Ninth People's Hospital of Shanghai Jiaotong University School of Medicine
Shanghai, Shanghai Municipality, China
Countries
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Central Contacts
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Facility Contacts
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Provided Documents
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Document Type: Informed Consent Form
Other Identifiers
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SH9H-2020-T233-1
Identifier Type: -
Identifier Source: org_study_id
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