An Artificial Intelligence System for Multimodal, Multi-class Diagnosis of Pancreatic Cystic Lesions Based on Endoscopic Ultrasonography

ConditionPancreatic Cystic Lesion (PCL)

Trial statusNot yet recruiting

Trial phaseNot listed

Trial typeObservational

Biological sexAll

Age18+

SponsorQilu Hospital of Shandong University

About this trial

The aim of this study is to develop and validate an artificial intelligence system named iEUS-PCL (intelligent endoscopic ultrasound system-pancreatic cystic lesions） for detecting and multimodal, multi-class diagnosing pancreatic cystic lesions (PCL) during endoscopic ultrasound (EUS) examination.

Eligibility criteria

Qualifiers

None

Disqualifiers

None

Trial design

Treatments tested in this trial

iEUS-PCL(intelligent endoscopic ultrasound system- pancreatic cystic lesion)

Treatment groups

176 Participants

are divided into 1 treatment group

Sponsors and collaborators

Qilu Hospital of Shandong University

Lead sponsor

Liaocheng People's Hospital

Collaborator

Taian City Central Hospital

Collaborator

Qilu Hospital of Shandong University (Qingdao)

Collaborator

Binzhou People's Hospital

Collaborator

Shandong Provincial Hospital

Collaborator

The Affiliated Hospital of Qingdao University

Collaborator

Qianfoshan Hospital

Collaborator

Shengli Oilfield Hospital

Collaborator

Binzhou Medical University

Collaborator

Source ClinicalTrials.gov