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Study of bladdeR Cancer Detection in Standard White Light Versus AI-Supported Endoscopy-02

NCT06780358 · Status: ENROLLING_BY_INVITATION · Phase: NA · Type: INTERVENTIONAL · Enrollment: 64

Last updated 2025-01-17

No results posted yet for this study

Summary

This study is being conducted to investigate if an artificial intelligence support tool is non-inferior in detecting bladder cancer compared to the traditional method, standard white light cystoscopy (WLC). The researchers will compare how well the artificial intelligence tool and WLC perform in detecting bladder cancer through a controlled, organized testing process.

Conditions

Interventions

DEVICE

AI supported detection of bladder cancer

AI-model-supported detection of bladder cancer during white light cystoscopy

Sponsors & Collaborators

  • Aarhus University Hospital

    collaborator OTHER

  • Cystotech

    lead INDUSTRY

Principal Investigators

  • Jakobsen · Department of Urology, Aarhus University Hospital, denmark

Study Design

Allocation
RANDOMIZED
Purpose
OTHER
Masking
NONE
Model
PARALLEL

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-11-20
Primary Completion
2025-04-30
Completion
2025-05-31

Countries

  • Denmark

Study Locations

More Related Trials

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 NCT06780358 on ClinicalTrials.gov