Clinical trial Recruiting at 1 site Interventional Ages 18 to 80

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 typeInterventional
Ages18 Years to 80 Years
SexAll
Enrollment200 (estimated)
SponsorThe Third Xiangya Hospital of Central South University
Academic / other
Drugs / interventionschemotherapy
Locations1 site (Changsha)
StatusRecruiting
StartedJanuary 15, 2025
Main results expectedDecember 31, 2025
Study endsMarch 30, 2026
Registry record updatedJanuary 23, 2025
Trial IDNCT06790134 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

  • 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

Similar studies

Other studies for the same condition or treatment. Recruiting studies are listed first.

How to take part

  1. Review the eligibility criteria above with your treating physician.
  2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
  3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.