Actively Recruiting
An Artificial Intelligence System for Multimodal, Multi-class Diagnosing Solid Pancreatic Lesions Based on Endoscopic Ultrasound
Led by Qilu Hospital of Shandong University · Updated on 2026-02-02
383
Participants Needed
1
Research Sites
147 weeks
Total Duration
On this page
Sponsors
Q
Qilu Hospital of Shandong University
Lead Sponsor
L
Liaocheng People's Hospital
Collaborating Sponsor
AI-Summary
What this Trial Is About
The aim of this study is to validate an artificial intelligence system named iEUS-SPL(intelligent endoscopic ultrasound system-solid pancreatic lesion) for detecting and multimodal, multi-class diagnosing solid pancreatic lesions during endoscopic ultrasound(EUS) examination.
CONDITIONS
Official Title
An Artificial Intelligence System for Multimodal, Multi-class Diagnosing Solid Pancreatic Lesions Based on Endoscopic Ultrasound
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Patients aged 18 years or older scheduled for EUS with suspected solid pancreatic lesions based on clinical symptoms, medical history, laboratory tests, or radiological exams
- Patients able to provide informed consent
- Patients with no prior treatment for pancreatic lesions
You will not qualify if you...
- Patients with absolute contraindications to EUS examination
- Pregnant or lactating patients
- Patients with uncorrectable bleeding disorders (PTT > 50 seconds or INR > 1.5) or uncorrectable low platelet count (platelets < 50 ×10^9/L)
- Patients with upper gastrointestinal obstruction
- Patients who had pancreatic surgery or anatomical changes due to other thoracic or abdominal organ lesions or congenital abnormalities
- Patients with biliary or pancreatic duct stent placement
- Patients who refuse to sign informed consent
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
Qilu Hospital of Shandong University
Jinan, Shandong, China, 250012
Actively Recruiting
Research Team
Z
Zhen Li
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
1
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