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AI Assistance in GI Endoscopy Recovery Assessment

NCT06923059 · Status: NOT_YET_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 460

Last updated 2025-04-11

No results posted yet for this study

Summary

We have developed and validated an AI model to assess endoscopy recovery status based on 400 voice recordings from 200 patients. This model has a mean accuracy of 84.14% with a mean area under the curve (AUC) of 0.91.

To further enhance the performance of this AI model, we plan to collect additional voice recordings to retrain it. We also plan to develop a mobile application of this AI model for effectiveness evaluation in a pilot randomized controlled trial (RCT) setting. Endoscopy nurses in Hong Kong were invited to participate in a survey study. Therefore, we believe implementation of AI model in clinical practice will be well accepted by endoscopy nurses in Hong Kong.

Conditions

  • Artificial Intelligence Assistance in Endoscopy Recovery
  • AI Validation

Interventions

OTHER

AI-assisted endoscopy recovery assessment

The intervention group will be assessed by the AI model regularly, which will be installed in a smartphone attached to the head of the stretcher once the patient in this group arrives at the recovery room. After the recovery nurse starts the AI application following the standard-of-care baseline assessment of vital signs, the AI application will prompt an automatic voice alarm to wake up the patient by asking if he/she is awake every 10 minutes.

Sponsors & Collaborators

  • Chinese University of Hong Kong

    lead OTHER

Study Design

Allocation
RANDOMIZED
Purpose
DIAGNOSTIC
Masking
DOUBLE
Model
PARALLEL

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2025-04-01
Primary Completion
2026-12-31
Completion
2027-06-30

Countries

  • Hong Kong

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 NCT06923059 on ClinicalTrials.gov