NCT04232462

A Multicentric Validation Study on the Accuracy of Artificial Intelligence Assisted System in Clinical Application of Digestive Endoscopy

• Status: Unknown
• Phase: —
• Study type: Observational
• Enrollment: 10,000 (estimated)
• Sponsor: Renmin Hospital of Wuhan University · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: —

Summary

This is an artificial intelligence-based optical artificial intelligence assisted system that can assist endoscopists in improving the quality of endoscopy.

Detailed description

Endoscopic diagnosis and treatment play an important role in the discovery and treatment of gastrointestinal diseases.With the rapid increase in the number of endoscopies, the workload of endoscopists increases further.The high workload reduces the quality of endoscopy, leading to incomplete coverage and incomplete detection of lesions.With the rapid increase in the number of endoscopies, the workload of endoscopists increases further.The high workload reduces the quality of endoscopy, leading to incomplete coverage and incomplete detection of lesions.Therefore, carrying out deep learning and other artificial intelligence methods has good academic research and practical value for improving the quality of endoscopic diagnosis and treatment.The research and development, testing and functional evaluation of artificial intelligence devices need to use a large number of endoscopic images, and at the same time, the effectiveness and safety of artificial intelligence devices need to be verified in different hospitals and environments.Based on this, our research group intends to collect endoscopic image data from different hospitals for training and validation of the model.

Conditions

• Gastrointestinal Disease
• Endoscopy
• Artificial Intelligence

Interventions

Type	Name	Description
DIAGNOSTIC_TEST	Endoscopists refer to AI for diagnosis	The AI will provide a clinical diagnosis during endoscopy.

Timeline

• Start date: 2020-01-01
• Primary completion: 2025-12-31
• Completion: 2025-12-31
• First posted: 2020-01-18
• Last updated: 2021-01-08

Locations

1 site across 1 country: China