Loading clinical trials...

RECRUITING

Evaluation of AI Large Models for Diagnosis and Treatment in Real-World Cases: Multicenter Retrospective Study

NCT07378358•First Affiliated Hospital of Fujian Medical University

Summary

This multicenter retrospective study aims to evaluate the diagnostic and therapeutic performance of three large language models-ChatGPT, Gemini and Deepseek-using 800 archived inpatient medical records from urology departments across four tertiary hospitals. The study will focus on the accuracy and applicability of these models in disease recognition, preliminary diagnosis and treatment recommendation generation, in order to explore their potential value and limitations in supporting clinical decision-making in real-world settings.

Eligibility

Age

18 - No limit years

Sex

ALL

Healthy Volunteers

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•Medical records have been archived, with objective and accurate information that has not been altered.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.

Locations (1)

The First Affiliated Hospital of Fujian Medical University

Fuzhou, China

Key Dates

Start Date

January 1, 2026

Primary Completion Date

April 1, 2026

Completion Date

June 1, 2026

Last Updated

January 30, 2026

Enrollment

800

ESTIMATED participants

Conditions

Urologic Diseases

Interventions

Large Language Model Assessment (ChatGPT, Gemini, DeepSeek)

OTHER

Contacts

Ning Xu

CONTACT

+86-13235907575 drxun@fjmu.edu.cn

Advancing Health Information Exchange (HIE) During Inter-hospital Transfer (IHT) to Improve Patient Outcomes

NCT05443321

InfectionsHeart Failure+14 more

View study

ACTIVE_NOT_RECRUITINGNA

SelfWrap-Assisted Arteriovenous Fistulas

NCT05418816

Chronic Kidney DiseasesChronic Kidney Failure+15 more

View study

Data Source & Attribution

This clinical trial information is sourced from ClinicalTrials.gov, a service of the U.S. National Institutes of Health.

ClinicalTrials.gov last update: January 30, 2026Data synced to Clareo: March 29, 2026

Modifications: This data has been reformatted for display purposes. Eligibility criteria have been parsed into inclusion/exclusion sections. Location data has been geocoded to enable distance-based search. For the authoritative and most current information, please visit ClinicalTrials.gov.

Neither the United States Government nor Clareo Health make any warranties regarding the data. Check ClinicalTrials.gov frequently for updates.

View ClinicalTrials.gov Terms and Conditions

Evaluation of AI Large Models for Diagnosis and Treatment in Real-World Cases: Multicenter Retrospective Study

Inclusion Criteria

Exclusion Criteria

Advancing Health Information Exchange (HIE) During Inter-hospital Transfer (IHT) to Improve Patient Outcomes

SelfWrap-Assisted Arteriovenous Fistulas

Bovine Colostrum for Prophylaxis Against Recurrent Urinary Tract Infection in Children

Proliposomal Intravesical Paclitaxel for Treatment of Low-Grade, Stage Ta, Non Muscle Invasive Bladder Cancer

Experience of Use and Biopsychosocial Effects of Robotic and Virtual Reality Devices in Neuromotor Rehabilitation

A Prospective Non-interventional Study in Overactive Bladder (OAB) Patients Prescribed Betmiga® as Part of Routine Clinical Practice