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NCT05792267

Clinical Research on a Novel Deep-learning Based System in Pancreatic Endoscopic Ultrasound Scanning

Recruiting now NA Last updated 12 February 2025
What this trial tests

NA trial testing artificial intelligence system in Pancreatic Disease in 200 participants. Currently enrolling.

Timeline
1 January 2021
Primary endpoint
30 June 2024
30 June 2025

Quick facts

Lead sponsorThe Third Xiangya Hospital of Central South University
PhaseNA
StatusRecruiting now
Study typeINTERVENTIONAL
Allocationrandomized
Designparallel
Maskingdouble
Primary purposeother
Enrollment200
Start date1 January 2021
Primary completion30 June 2024
Estimated completion30 June 2025
Sites1 location across China

Drugs / interventions tested

Conditions studied

Sponsor

The Third Xiangya Hospital of Central South University

Who can join

Adults 18 to 80, any sex, with Pancreatic Disease. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

The goal of this clinical trial is to develop and verify the auxiliary role of the artificial intelligence system in pancreatic ultrasound endoscopic scanning.The main questions it aims to answer are as follows: 1.The comparison of the image recognition accuracy between the artificial intelligence system and the ultrasound endoscopist; 2. Whether the artificial intelligence system can improve the efficiency of the pancreatic scanning for the ultrasound endoscopist. Participants will undergo pancreatic EUS with or without the assistance of the artificial intelligence system.

Publications & conference data

No peer-reviewed publications indexed yet for this trial.

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Other trials of artificial intelligence system

Trials testing the same drug.

Other recruiting trials for Pancreatic Disease

Currently open trials in the same condition.

Other The Third Xiangya Hospital of Central South University trials

Trials by the same sponsor.

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Data sources for this page

Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT05792267.

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