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Performances of Large Language Models in Kidney Allograft Diagnostics

NCT07004660 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 240

Last updated 2025-06-04

No results posted yet for this study

Summary

Kidney allograft rejection diagnosis relies on the complex Banff classification, but its application is limited by variability and workload. Our group previously built a scripted automation system, though it required major expert input. This study assesses whether modern LLMs can achieve similar diagnostic performance using Banff-based prompts, without extensive manual engineering.

Conditions

  • Kidney Transplantation

Sponsors & Collaborators

  • Paris Translational Research Center for Organ Transplantation

    lead OTHER

Eligibility

Min Age
0 Years
Max Age
100 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2004-03-01
Primary Completion
2023-12-31
Completion
2023-12-31

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07004660 on ClinicalTrials.gov