Validation of an AI-based Biliopancreatic EUS Navigation System for Real-time Quality Improvement: A Prospective, Single-center, Randomized Controlled Trial
NCT05457101 · Status: UNKNOWN · Phase: NA · Type: INTERVENTIONAL · Enrollment: 264
Last updated 2023-06-22
Summary
Endoscopic ultrasonography (EUS) is a key procedure for diagnosing biliopancreatic diseases. However, the performance among EUS endoscopists varies greatly and leads to blind areas during operation, which impaired the health outcome of patients. We previously developed an artificial intelligence (AI) device that accurately identifies EUS standard stations and significantly reduces the difficulty of ultrasound image interpretation. In this study, we updated the device (named EUS-IREAD) and assessed its performance in improving the quality of EUS examination in a single-center randomized controlled trial.
Conditions
- Endoscopic Ultrasonography
- Pancreatic Disease
- Bile Duct Diseases
- Artificial Intelligence
Interventions
- OTHER
-
AI-based biliopancreatic EUS navigation system
The endoscopists in the experimental group will be assisted by EndoAngel, which can in real-time prompt standard stations and anatomical structures during EUS. The system is an non-invasive AI system .
Sponsors & Collaborators
-
Renmin Hospital of Wuhan University
lead OTHER
Principal Investigators
-
Honggang Yu, Doctor · Renmin Hospital of Wuhan University
Study Design
- Allocation
- RANDOMIZED
- Purpose
- SCREENING
- Masking
- DOUBLE
- Model
- PARALLEL
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2022-07-01
- Primary Completion
- 2023-07-01
- Completion
- 2023-07-30
Countries
- China
Study Locations
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