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NCT05193656: BLAInostic

Bladder Cancer Detection Using Convolutional Neural Networks

Recruiting now Last updated 30 January 2024
What this trial tests

trial testing Al_bladder in Bladder Cancer in 5,000 participants. Currently enrolling.

Timeline
1 June 2021
Primary endpoint
1 June 2026
1 June 2026

Quick facts

Lead sponsorZealand University Hospital
StatusRecruiting now
Study typeOBSERVATIONAL
Enrollment5,000
Start date1 June 2021
Primary completion1 June 2026
Estimated completion1 June 2026
Sites1 location across Denmark

Drugs / interventions tested

Conditions studied

Sponsor

Zealand University Hospital

Who can join

Eligibility, any sex, with Bladder Cancer. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

The investigators aim to experiment and implement various deep learning architectures to achieve human-level accuracy in Computer-aided diagnosis (CAD) systems. In particular, the investigators are interested in detecting bladder tumors from CT urography scans and cystoscopies of the bladder in this project.

Publications & conference data

1 peer-reviewed publication reference this trial (live from Europe PMC):

  1. Advances in Liquid Biopsy for Diagnosis of Bladder Cancer.
    Seok J, Kwak Y, Kim S, Kim EM, et al · · 2024 · cited 6× · PMID 38956768 · DOI 10.5213/inj.2448198.099

Verify or expand the search:

Other recruiting trials for Bladder Cancer

Currently open trials in the same condition.

Other Zealand University Hospital trials

Trials by the same sponsor.

Verify against primary sources

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/NCT05193656.

Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing