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An observational study evaluating the use of artificial intelligence algorithms in the management and early diagnosis of urologic tumors

An observational study evaluating the use of artificial intelligence algorithms in the management and early diagnosis of urologic tumors

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500105530
Enrollment
Unknown
Registered
2025-07-04
Start date
2025-07-05
Completion date
Unknown
Last updated
2025-07-07

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

Conditions

Urologic tumors

Interventions

Observation group:None

Sponsors

Ruijin Hospital, Shanghai Jiao Tong University School of Medicine
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1.Adults (>=18 years of age) with suspected or newly diagnosed or previously treated urologic cancers (prostate, kidney, adrenal, epithelial). 2.Willing and able to provide informed consent for prospective data collection;

Exclusion criteria

Exclusion criteria: 1.Unable or unwilling to provide imaging or relevant clinical records; 2.Simultaneous participation in another research trial that does not allow data sharing; 3.Known serious complications preventing standard oncologic treatments;

Design outcomes

Primary

MeasureTime frame
Consistency in clinical decision-making;—

Countries

China

Contacts

Public ContactXu Danfeng

Ruijin Hospital, Shanghai Jiao Tong University School of Medicine

xdf12036@rjh.com.cn+86 21 64370045

Outcome results

None listed

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