Using AI to improve pancreatic ultrasound scans

Validation of an AI-Assisted Pancreatic EUS System for Training Improvement: a Prospective, Multi-Center, Randomized Trial

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

• Phase: NA
• Study type: Interventional
• Enrollment: 200 (estimated)
• Ages: 18 Years to 80 Years
• Sex: All
• Sponsor: The Third Xiangya Hospital of Central South University (other)
• Drugs / interventions: chemotherapy
• Locations: 1 site (Changsha)
• Trial ID: NCT06790134 on ClinicalTrials.gov

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.

Who should consider this trial

Good fit: Ideal candidates for this study are adults aged 18 to 80 who require endoscopic ultrasonography of the pancreas.

Not a fit: Patients with severe physical conditions or those who are pregnant or breastfeeding may not benefit from this study.

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 performed: Other studies have shown promise in using AI for imaging improvements, suggesting potential success for this approach.

Eligibility 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 this trial is running

Changsha

• 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

Conditions: Pancreatic Diseases