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AI Assistance in GI Endoscopy Recovery Assessment
Sponsor: Chinese University of Hong Kong
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.
Official title: Effectiveness of Artificial Intelligence-assisted Recovery Assessment After Outpatient Gastrointestinal Endoscopy. A Pilot Double-blind Randomized Controlled Trial.
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
INTERVENTIONAL
Enrollment
460
Start Date
2025-04-01
Completion Date
2027-06-30
Last Updated
2025-04-11
Healthy Volunteers
Yes
Interventions
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.
Locations (1)
Alice Ho Miu Ling Nethersole Hospital
New Territories, Hong Kong