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Research on Early Warning and Solution System of Difficult Airway in Perioperative Period Based on Artificial Intelligence

NCT04458220 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 16000

Last updated 2023-08-01

No results posted yet for this study

Summary

The study is performed in Shanghai Ninth People's Hospital Affiliated with Shanghai Jiao Tong University School of Medicine . According to inclusion and exclusion criteria ,the investigators are expected to enroll 16000 participants who performed endotracheal intubation under general anesthesia. All enrolled participants must sign a written informed consent.In the preset studio,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.Then,Statistical experts use quantitative software to quantify the data.The investigators will put all the data and images into a confidential database in order to build a large database of difficult airways.

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.

Conditions

  • Difficult Airway

Interventions

OTHER

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.

Sponsors & Collaborators

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

    lead OTHER

Principal Investigators

  • Hong Jiang, Dr · The Ninth People's Hospital of Shanghai Jiaotong University School of Medicine

Eligibility

Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2020-07-30
Primary Completion
2024-05-30
Completion
2025-05-30

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 NCT04458220 on ClinicalTrials.gov