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

Launched by SHANGHAI NINTH PEOPLE'S HOSPITAL AFFILIATED TO SHANGHAI JIAO TONG UNIVERSITY · Jul 1, 2020

Keywords

ClinConnect Summary

This clinical trial is studying a new system that uses artificial intelligence (AI) to identify challenges that may arise during a procedure called endotracheal intubation, which is often needed for patients under general anesthesia. The goal is to build a large, confidential database using 3D images and sound samples from about 16,000 participants to help create an early warning model for difficult airways. This could ultimately improve patient safety and outcomes during surgery.

To participate, individuals must be scheduled for intubation under general anesthesia and be able to follow instructions. However, those with communication difficulties, certain medical conditions, or severe injuries won’t be eligible. Participants can expect that their 3D facial images will be taken, and they'll be asked to answer a questionnaire immediately after intubation to help gather important data. Importantly, this trial does not involve any interventions or changes to the usual care patients receive during their surgery.

Gender

ALL

Eligibility criteria

• 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.