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Can interdisciplinary tumor boards for determining the further procedure in patients with urological carcinoma be equivalently replaced by appropriately trained Large Language Models (LLMs)? Results of a multicenter study on the concordance and differences in the recommendations of real tumor boards and virtual LLM tumor boards.

Conditions
Patients with urological carcinomas
C61
C60
C62
C64
C65
C67
C66
Malignant neoplasm of prostate
Malignant neoplasm of penis
Registration Number
DRKS00034797
Lead Sponsor
Klinikum St. Elisabeth Straubing
Brief Summary

Not available

Detailed Description

Not available

Recruitment & Eligibility

Status
Pending
Sex
All
Target Recruitment
100
Inclusion Criteria

Patients with urogenital carcinoma, older than 18 years old

Exclusion Criteria

Patients under 18

Study & Design

Study Type
observational
Study Design
Not specified
Primary Outcome Measures
NameTimeMethod
Secondary Outcome Measures
NameTimeMethod
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