Using AI to improve pancreatic ultrasound scans
Official title: Validation of an AI-Assisted Pancreatic EUS System for Training Improvement: a Prospective, Multi-Center, Randomized Trial
Run by The Third Xiangya Hospital of Central South University · NCT06790134 · Data updated 2026-11-12
This study is testing if using an artificial intelligence system can make pancreatic ultrasound scans more accurate and helpful for doctors and patients.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 18 Years to 80 Years |
| Sex | All |
| Enrollment | 200 (estimated) |
| Sponsor | The Third Xiangya Hospital of Central South University Academic / other |
| Drugs / interventions | chemotherapy |
| Locations | 1 site (Changsha) |
| Status | Recruiting |
| Started | January 15, 2025 |
| Main results expected | December 31, 2025 |
| Study ends | March 30, 2026 |
| Registry record updated | January 23, 2025 |
| Trial ID | NCT06790134 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Ideal candidates for this study are adults aged 18 to 80 who require endoscopic ultrasonography of the pancreas.
✕Probably not a fit
Patients with severe physical conditions or those who are pregnant or breastfeeding may not benefit from this study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This clinical trial aims to validate the effectiveness of an artificial intelligence (AI) system in enhancing the accuracy and quality of pancreatic endoscopic ultrasound (EUS) scans. Participants will undergo EUS procedures either with or without the assistance of the AI system, allowing for a direct comparison of image recognition accuracy between the AI and trained endoscopists. The study is prospective and multi-centered, involving several hospitals to gather diverse data on the AI's performance. The goal is to determine if the AI can significantly improve the training and outcomes for EUS endoscopists.
Why it matters
Potential benefit: If successful, this study could lead to improved diagnostic accuracy and training for pancreatic diseases, benefiting patients through better detection and management.
How similar studies have gone: Other studies have shown promise in using AI for imaging improvements, suggesting potential success for this approach.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: 1\. Age ≥18 years old, \<80 years old 2.Patients who need endoscopic ultrasonography of pancreas; 3. Agree to participate in this study and sign the informed consent form. Exclusion Criteria: Subjects who meet any of the following criteria cannot be selected for this trial: First. The patient's physical condition does not meet the requirements of conventional endoscopic ultrasonography: Poor physical condition, including hemoglobin ≤8.0g/dl, severe cardiopulmonary insufficiency, etc. Anesthesia assessment failed Pregnancy or breastfeeding In the acute stage of chemical and corrosive injury, it is very easy to cause perforation Recent acute coronary syndrome or clinically unstable ischemic heart attack Heart disease patients with right-to-left shunt, patients with severe pulmonary hypertension (pulmonary artery pressure\> 90mmHg), patients with uncontrolled systemic hypertension and patients with adult respiratory distress syndrome. Second. Disagree to participate in this study. Third. There are other problems that do not meet the requirements of this research or that affect the results of the research: Pancreatic disease has undergone surgery or radiotherapy and chemotherapy beforehand; Mental illness, drug addiction, inability to express themselves or other diseases that may affect follow-up.
Where it's running
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The Third Xiangya Hospital of Central South University
Changsha, China Recruiting
Study contacts
- Principal investigator: Xiaoyan Wang, Doctor — The Third Xiangya Hospital of Central South University
- Study coordinator: Xiaoyan Wang, Doctor
- Email: wangxiaoyan@csu.edu.cn
- Phone: +8613974889301
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.