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To explore the application of artificial intelligence multimodal large model in urinary system diseases

To explore the application of artificial intelligence multimodal large model in urinary system diseases

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500103122
Enrollment
Unknown
Registered
2025-05-26
Start date
2025-06-01
Completion date
Unknown
Last updated
2025-06-02

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

Conditions

Patients diagnosed with urinary system related diseases, including but not limited to kidney diseases (such as kidney stones, renal urologic diseases, chronic kidney disease, etc.)

Interventions

Urinary system related diseases group:NA

Sponsors

Shanghai General Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1. Patients diagnosed with urinary system related diseases, including but not limited to kidney diseases (such as kidney stones, renal urologic diseases, chronic kidney disease, etc.); Bladder diseases (such as bladder cancer, cystitis, interstitial cystitis, etc); Prostate-related diseases (e.g. prostatic hyperplasia, urinary diseases); Other urinary system diseases such as ureter and urethra; And patients without any urinary diseases (control group). 2. Complete multimodal medical data, including at least two or more of the following: structured data, such as medical record information, laboratory tests, and surgical records; Unstructured text: such as doctor's diagnosis record, discharge summary, etc. Medical imaging data, such as ultrasound, CT, MRI, etc., with good image quality; Pathological sections or histological data; 3. Age above 18 years old, regardless of gender;

Exclusion criteria

Exclusion criteria: 1. Patients clearly refused to use their own examination data for various studies. 2. Other circumstances judged by the investigator to be inappropriate for participation in the study.

Design outcomes

Primary

MeasureTime frame
Accuracy;sensitivity;specificity;AUC;

Countries

China

Contacts

Public ContactHan Bangmin

Shanghai General Hospital

hanbm@163.com+86 18939757031

Outcome results

None listed

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