An Artificial Intelligence System for Multimodal, Multi-class Diagnosing Solid Pancreatic Lesions Based on Endoscopic Ultrasound
Status: Recruiting
Location: See location...
Intervention Type: Device
Study Type: Observational
SUMMARY
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.
Eligibility
Participation Requirements
Sex: All
Minimum Age: 18
Healthy Volunteers: t
View:
• Patients aged ≥18 years scheduled for EUS with suspected solid pancreatic lesions based on clinical symptoms, medical history, laboratory tests or radiological examinations agree to participate in the research and be able to sign informed consent.
• Patients with no prior history of treatment for pancreatic lesions.
Locations
Other Locations
China
Qilu Hospital of Shandong University
RECRUITING
Jinan
Contact Information
Primary
Zhen Li
qilulizhen@sdu.edu.cn
18560086106
Time Frame
Start Date: 2025-09-01
Estimated Completion Date: 2028-06-30
Participants
Target number of participants: 383
Treatments
Patients undergoing EUS
Patients aged ≥18 years scheduled for EUS with suspected solid pancreatic lesions based on clinical symptoms, medical history, laboratory tests or radiological examinations agree to participate in the research and be able to sign informed consent.
Related Therapeutic Areas
Sponsors
Leads: Qilu Hospital of Shandong University
Collaborators: Binzhou Medical University, Liaocheng People's Hospital, Binzhou People's Hospital, Taian City Central Hospital, Shengli Oilfield Hospital, The Affiliated Hospital of Qingdao University, Qianfoshan Hospital, Shandong Provincial Hospital, Qilu Hospital of Shandong University (Qingdao)