Development of an AI-Agent for Urological Disease Diagnosis and Treatment
Development of an AI-Agent for Diagnosis and Treatment of Urological Diseases
Urological diseases such as urinary stones, prostate cancer, and bladder cancer are very common and often require highly specialized diagnosis and treatment. Today, the quality of care can vary between doctors, and there are not enough urology specialists to meet patient demand. Artificial intelligence (AI) may help doctors make faster and more consistent decisions.
This study aims to develop and test an AI-powered assistant called "UroAgent" that supports doctors in diagnosing and treating urological diseases. UroAgent is built on a large language model trained specifically for urology and is connected to tools that help it retrieve medical knowledge and analyze images. To build and test UroAgent, the research team will use 1,500 past patient records from 2010-2025 and collect 500 new patient cases for validation, for a total of 2,000 cases. This is an observational study: no patient's medical treatment will be changed because of it. The goal is to create a reliable AI tool that helps improve urological care for patients.
Studieoversikt
Status
Status
Forhold
Forhold
Detaljert beskrivelse
Studietype
Studietype
Registrering (Antatt)
Registrering
Kontakter og plasseringer
Studiekontakt
Studiekontakt
- Navn: Mingzhou Dai
- Telefonnummer: +86 19924684262
- E-post: daimzh3@mail2.sysu.edu.cn
Studiesteder
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Guangdong
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Guangzhou, Guangdong, Kina, 510000
- Rekruttering
- Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University
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Ta kontakt med:
- Mingzhou Dai
- Telefonnummer: +86 19924684262
- E-post: daimzh3@mail2.sysu.edu.cn
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Shantou, Guangdong, Kina, 516600
- Rekruttering
- Shenshan Medical Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University
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Ta kontakt med:
- Zhuang Tang
- Telefonnummer: +86 13666144867
- E-post: tangzh23@mail.sysu.edu.cn
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Jiangxi
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Ganzhou, Jiangxi, Kina, 341000
- Rekruttering
- Ganzhou People's Hospital
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Ta kontakt med:
- Cong Lai
- Telefonnummer: +86 19872753573
- E-post: laic@mail2.sysu.edu.cn
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Deltakelseskriterier
Kvalifikasjonskriterier
Kvalifikasjonskriterier
Alder som er kvalifisert for studier
- Barn
- Voksen
- Eldre voksen
Tar imot friske frivillige
Prøvetakingsmetode
Studiepopulasjon
Beskrivelse
Inclusion Criteria:
- Diagnosed with a urological disease (e.g., urinary stones, prostate cancer, bladder cancer, and other urological conditions).
- Availability of complete clinical information, imaging data, and surgical video required for model development and validation.
Exclusion Criteria:
1. Missing clinical information, imaging data, or surgical video.
Studieplan
Hvordan er studiet utformet?
Designdetaljer
Antall grupper / kohorter
Kohorter og intervensjoner
Gruppe / KohortGruppe / Kohort |
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Urological Disease Cohort
The cohort consists of patients diagnosed with urological diseases-including urinary stones, prostate cancer, and bladder cancer-at Sun Yat-sen Memorial Hospital.
A total of 2,000 cases are included: 1,500 retrospective cases recorded between 2010 and 2025 (used for model development) and 500 prospectively and consecutively enrolled cases (used for independent validation); all records are de-identified.
The intervention (technology) of interest is "UroAgent," an artificial-intelligence diagnostic-and-treatment agent built on a urology-specialized large language model with integrated tool modules (knowledge retrieval, image interpretation).
For each case, UroAgent's diagnostic and treatment recommendations are generated and compared with the analyses provided by human urology specialists, to evaluate the agent's performance-diagnostic accuracy, recommendation appropriateness, completeness, and safety-against expert judgment.
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Hva måler studien?
Primære resultatmål
Primære resultatmål
Resultatmål |
Tiltaksbeskrivelse |
Tidsramme |
|---|---|---|
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Diagnostic Accuracy of UroAgent
Tidsramme: Retrospective cases - at data extraction (single time point); Prospective cases - at enrollment (single time point); no longitudinal follow-up.
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The primary outcome is UroAgent's diagnostic accuracy, measured as the F1 score of its leading diagnosis against the reference-standard final diagnosis.
The reference standard is established by senior urologists from pathology, imaging, and clinical course.
F1 = 2 × Precision × Recall / (Precision + Recall), computed per case and aggregated as macro-F1 across the 2,000-case cohort (1,500 retrospective + 500 prospective).
Unit of measure: F1 score (range 0-1).
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Retrospective cases - at data extraction (single time point); Prospective cases - at enrollment (single time point); no longitudinal follow-up.
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Sekundære resultatmål
Sekundære resultatmål
Resultatmål |
Tiltaksbeskrivelse |
Tidsramme |
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Expert Subjective Accuracy Rating
Tidsramme: Retrospective cases - at data extraction (single time point); Prospective cases - at enrollment (single time point); no longitudinal follow-up.
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Independent urologists rate the accuracy of UroAgent's diagnosis on a 5-point Likert scale (1 = completely inaccurate, 5 = completely accurate), blinded to model identity.
Reported as the mean rating and the percentage of cases rated ≥ 4; disagreements resolved by a third urologist.
Unit of measure: mean rating (1-5) and percentage of cases rated accurate (%).
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Retrospective cases - at data extraction (single time point); Prospective cases - at enrollment (single time point); no longitudinal follow-up.
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Treatment Recommendation Appropriateness of UroAgent
Tidsramme: Retrospective cases - at data extraction (single time point); Prospective cases - at enrollment (single time point); no longitudinal follow-up.
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The proportion of cases in which UroAgent's management recommendation is rated appropriate.
Two independent urologists rate each recommendation on a 5-point Likert appropriateness scale (1 = completely inappropriate, 5 = completely appropriate), blinded; "appropriate" defined as Likert ≥ 4; disagreement resolved by a third urologist.
Unit of measure: percentage of cases (%) rated appropriate.
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Retrospective cases - at data extraction (single time point); Prospective cases - at enrollment (single time point); no longitudinal follow-up.
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Clinical Safety of UroAgent Recommendations
Tidsramme: Retrospective cases - at data extraction (single time point); Prospective cases - at enrollment (single time point); no longitudinal follow-up.
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The rate of clinically unsafe recommendations.
Each case is reviewed by senior urologists using a safety rubric and flagged (binary per case) for any contraindicated, erroneous, or potentially harmful recommendation.
Unit of measure: percentage of cases (%) with ≥ 1 unsafe recommendation.
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Retrospective cases - at data extraction (single time point); Prospective cases - at enrollment (single time point); no longitudinal follow-up.
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Concordance and Non-Inferiority of UroAgent versus Clinician Diagnoses
Tidsramme: Retrospective cases - at data extraction (single time point); Prospective cases - at enrollment (single time point); no longitudinal follow-up.
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On the same cases, UroAgent's diagnoses are compared with those of practicing urologists.
Reported as the agreement rate (%) between UroAgent and clinician diagnoses, plus the diagnostic-accuracy difference in percentage points (pp); Cohen's κ reported as a supplementary statistic.
Both are assessed against the reference-standard final diagnosis.
Unit of measure: agreement rate (%) and accuracy difference (pp).
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Retrospective cases - at data extraction (single time point); Prospective cases - at enrollment (single time point); no longitudinal follow-up.
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Samarbeidspartnere og etterforskere
Sponsor
Sponsor
Samarbeidspartnere
Samarbeidspartnere
Studierekorddatoer
Studer hoveddatoer
Studiestart (Faktiske)
Studiestart
Primær fullføring (Antatt)
Primær fullføring
Studiet fullført (Antatt)
Studiet fullført
Datoer for studieregistrering
Først innsendt
Først innsendt
Først innsendt som oppfylte QC-kriteriene
Først innsendt som oppfylte QC-kriteriene
Først lagt ut (Faktiske)
Først lagt ut
Oppdateringer av studieposter
Sist oppdatering lagt ut (Faktiske)
Sist oppdatering lagt ut
Siste oppdatering sendt inn som oppfylte QC-kriteriene
Siste oppdatering sendt inn som oppfylte QC-kriteriene
Sist bekreftet
Sist bekreftet
Mer informasjon
Begreper knyttet til denne studien
Nøkkelord
Ytterligere relevante MeSH-vilkår
- Urogenitale sykdommer
- Kjønnssykdommer
- Genitale neoplasmer, hanner
- Urogenitale neoplasmer
- Neoplasmer etter nettsted
- Neoplasmer
- Kjønnssykdommer, mannlige
- Prostata sykdommer
- Mannlige urogenitale sykdommer
- Calculi
- Patologiske tilstander, anatomiske
- Kvinnelige urogenitale sykdommer
- Kvinnelige urogenitale sykdommer og graviditetskomplikasjoner
- Urolithiasis
- Urologiske neoplasmer
- Urinblæresykdommer
- Patologiske tilstander, tegn og symptomer
- Prostatiske neoplasmer
- Urologiske sykdommer
- Neoplasmer i urinblæren
- Urinkalkuli
Andre studie-ID-numre
Andre studie-ID-numre
- SYSKY-2025-151-03
Plan for individuelle deltakerdata (IPD)
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IPD-planbeskrivelse
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