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Artificial Intelligence in EUS for Diagnosing Pancreatic Solid Lesions

NCT05476978 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 130

Last updated 2024-04-03

No results posted yet for this study

Summary

We aim to develop an EUS-AI model which can facilitate clinical diagnosis by analyzing EUS pictures and clinical parameters of patients.

Conditions

Interventions

DIAGNOSTIC_TEST

EUS-AI model

The test subset (approximately 20% of total patients) is reserved for the final evaluation of the EUS-AI model. Clinical parameters and EUS pictures of each patient in the test subset will be inputed into the trained EUS-AI model, and the most possible diagnosis will be given by the model.

Sponsors & Collaborators

  • The Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School

    collaborator OTHER

  • LanZhou University

    collaborator OTHER

  • Huazhong University of Science and Technology

    lead OTHER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2022-07-01
Primary Completion
2023-06-30
Completion
2024-01-24

Countries

  • China

Study Locations

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Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT05476978 on ClinicalTrials.gov