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Construction of artificial intelligence image recognition system for bladder cancer

Construction of artificial intelligence image recognition system for bladder cancer

Status
Active, not recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2100048565
Enrollment
Unknown
Registered
2021-07-10
Start date
2021-07-11
Completion date
Unknown
Last updated
2022-03-21

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Bladder cancer

Interventions

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image&#32
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cancer

Sponsors

Peking University First Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 65 Years

Inclusion criteria

Inclusion criteria: Inclusion criteria of study group: 1. Male or female subjects (Chinese residents) aged 18 to 65 years at the time of screening; 2. Cystoscopy diagnosed "bladder tumor"; 3. The patient has signed the informed consent. Inclusion criteria of control group: 1. Male or female subjects (Chinese residents) aged 18 to 65 years at the time of screening; 2. Cystoscopy was a non "bladder tumor" diagnosis; 3. The patient has signed the informed consent form.

Exclusion criteria

Exclusion criteria: 1. Cystoscopy is contraindicated; 2. Patients refused to participate in this study.

Design outcomes

Primary

MeasureTime frame
Imaging data;

Countries

China

Contacts

Public ContactLi Xuesong

Peking University First Hospital

pineneedle@sina.com+86 13631308453

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026