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

Shanghai Jiao Tong University logo

Shanghai Jiao Tong University

Status

Enrolling

Conditions

Difficult Airway

Treatments

Other: photo and voice obtained

Study type

Observational

Funder types

Other

Identifiers

NCT04458220
SH9H-2020-T233-1

Details and patient eligibility

About

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.

Enrollment

16,000 estimated patients

Sex

All

Volunteers

Accepts Healthy Volunteers

Inclusion criteria

  • Patients to be intubated under general anesthesia.

Exclusion criteria

  • Patients with deaf-mutism or communication disorders.
  • 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.

Trial design

16,000 participants in 2 patient groups

difficult airway
Description:
C-L≥Ⅲ grade
Treatment:
Other: photo and voice obtained
none difficult airway
Description:
C-L\<Ⅲgrade
Treatment:
Other: photo and voice obtained

Trial documents
1

Trial contacts and locations

1

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Central trial contact

Ming Xia, Dr; Ren Zhou, Dr

Data sourced from clinicaltrials.gov

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