AI Assistance in GI Endoscopy Recovery Assessment

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.