Effect of a Deep Learning-based Bile Duct Scanning System on the Diagnostic Accuracy of Common Bile Duct Stones During Examination by Novice Ultrasound Endoscopists
Common Bile Duct Stones
About this trial
This is an interventional diagnostic trial for Common Bile Duct Stones focused on measuring Ultrasound Endoscopy, Common bile duct stones, artificial intelligence
Eligibility Criteria
Inclusion Criteria:
- Males and females aged 18 years and older who are suspected of having common bile duct stones at intermediate to low risk, where intermediate-risk patients are those with normal liver function but with abdominal ultrasound suggestive of bile duct dilatation, and low-risk patients are those with normal abdominal ultrasound and liver function but whose physicians still suspect common bile duct stones;
- Able to read, understand and sign an informed consent;
- The investigator believes that the subjects can understand the process of the clinical study, are willing and able to complete all study procedures and follow-up visits, and cooperate with the study procedures.
Exclusion Criteria:
- Patients at high risk of common bile duct stones. High-risk patients are those with common bile duct stones detected by abdominal ultrasound, patients with manifestations of cholangitis or hospitalized patients with a history of gallbladder stones with pain, bile duct dilatation and jaundice;
- Have drug or alcohol abuse or mental disorder in the last 5 years;
- Pregnant or lactating women;
- Altered anatomy due to previous history of upper gastrointestinal surgery;
- Patients with advanced tumors resulting in abnormal upper gastrointestinal anatomy;
- High-risk diseases or other special conditions that the investigator considers the subject unsuitable for participation in the clinical trial.
Sites / Locations
Arms of the Study
Arm 1
Arm 2
Experimental
Experimental
novices with AI-assisted system, Then experts without AI-assisted system
experts without AI-assisted system, Then novices with AI-assisted system
The patient is first scanned by a novice endoscopist with the assistance of a deep learning-based bile duct scanning system during the examination, and then rescanned by a specialist without the assistance of AI.
The patient is first scanned by a specialist without the assistance of AI and then rescanned by a novice endoscopist with the assistance of a deep learning-based bile duct scanning system during the examination.