Upper Gastrointestinal Symptoms Clinical Trial
Official title:
Effect of Artificial Intelligence Monitoring Blind Spots of EGD on the Inspection Time and Dection Rate of Neoplastic Lesions
The goal of this clinic trial is to learn about the effect of AI monitoring blind spots on the inspection time to EGD. Patients are randomly assigned to undergo an EGD with or without the assistance of AI. In the AI group, except for the original videos, there is additional information presented to endoscopists:(1)the virtual stomach model monitoring;(2)time;(3)scoring. Researchers will compare intervention group to see if it have a shorter inspection time compared with the control group.
The goal of this clinic trial is to evaluate the effect of real-time artificial intelligence for monitoring blind spots on the inspection time of EGD. Patients are randomly assigned to undergo an EGD with or without the assistance of AI. In the AI group, except for the original videos, there is additional information presented to endoscopists:(1)the virtual stomach model monitoring;(2)time;(3)scoring. Researchers will compare intervention group to see if it have a shorter inspection time in the case of non-inferior detection rate of gastric neoplastic lesions. ;
Status | Clinical Trial | Phase | |
---|---|---|---|
Recruiting |
NCT06030518 -
Robot-controlled Magnet-Assisted Capsule Endoscopy
|
N/A | |
Completed |
NCT01492296 -
Endoscopy With Short Fasting
|
N/A | |
Completed |
NCT04605302 -
Comparative Study of MCCE With/Without Tether vs Conventional Upper Endoscopy in Patients With Upper Abdominal Symptoms
|
N/A |