Bladder Cancer Detection Using Convolutional Neural Networks
NCT ID: NCT05193656
Last Updated: 2024-01-30
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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RECRUITING
5000 participants
OBSERVATIONAL
2021-06-01
2026-06-01
Brief Summary
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Detailed Description
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Conditions
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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Detecting bladder tumor
Patients with hematuria, or previous bladder tumor
Al_bladder
Detection of bladder tumor with help of Artificial intelligence
Interventions
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Al_bladder
Detection of bladder tumor with help of Artificial intelligence
Eligibility Criteria
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Inclusion Criteria
* Patients with the control program for previous bladder cancer
Exclusion Criteria
ALL
No
Sponsors
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Zealand University Hospital
OTHER
Responsible Party
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Principal Investigators
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Nessn Azawi, phd
Role: PRINCIPAL_INVESTIGATOR
Zealand University Hospital
Locations
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Zealand University Hospital
Roskilde, , Denmark
Countries
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Central Contacts
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Facility Contacts
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Other Identifiers
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SJ-905
Identifier Type: -
Identifier Source: org_study_id
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