Using AI language models to help diagnose and recommend treatments for urologic conditions

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This multicenter retrospective project will run three large language models—ChatGPT, Gemini, and DeepSeek—on 800 archived inpatient urology records from four tertiary hospitals to compare model outputs to documented diagnoses and treatment plans. Model-generated disease recognition, preliminary diagnoses, and treatment recommendations will be compared against the original clinical records and discharge decisions to measure accuracy and applicability. Data will be anonymized and used with prior patient or legal representative consent, and cases with missing core information will be excluded. The aim is to map strengths and limitations of LLM-based decision support in real-world clinical documentation.

Why it matters

Who can join: the full rules

Inclusion Criteria:

* The case data is sourced from the four hospitals involved in the study, with complete and authentic diagnosis and treatment records.
* Patients must be 18 years or older, with no gender restrictions.
* Complete medical records, including the following core information: patient' s basic information, present illness history, past medical history, physical examination, and auxiliary examinations (including laboratory and imaging tests).
* A clear discharge diagnosis and treatment plan (including therapeutic measures and follow-up arrangements).
* Medical records have been archived, with objective and accurate information that has not been altered.
* The patient or their legal representative has provided informed consent, agreeing to the use of their anonymized medical data for research analysis.

Exclusion Criteria:

* Medical records with significant missing information, such as key clinical details (present illness history, diagnostic or treatment records, etc.).
* Cases where the diagnosis or treatment plan is unclear, or where treatment has not been fully completed for an initial diagnosis.
* Cases where the primary diagnosis is not urological.
* Cases with major errors or inconsistencies in the records that could affect further assessment.
* Medical records in special formats or images that are not readable (e.g., handwritten notes, non-standard documentation).
* Patients who have not signed the informed consent form or who refuse to allow their medical data to be used for research.

Where it's running

• The First Affiliated Hospital of Fujian Medical University
  Fuzhou, China Recruiting

Study contacts

• Study coordinator: Ning Xu
• Email: drxun@fjmu.edu.cn
• Phone: +86-13235907575

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.