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Lymphoedema Diagnosis and Treatment

NCT07485465 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 25

Last updated 2026-03-20

No results posted yet for this study

Summary

A domain-specific, custom-trained large language model for the differential diagnosis and treatment planning of lymphedema, lipedema, and venous insufficiency.

Conditions

  • Lymphedema
  • Artificial Intelligence (AI)

Interventions

OTHER

a domain-specific, custom-trained large language model for the differential diagnosis and treatment planning of lymphedema, lipedema, and venous insufficiency

LymphedemaGPT was designed to analyze structured patient data to extract clinical summaries, present possible diagnoses with percentage probabilities, create differential diagnosis tables, suggest additional diagnostic tests, and generate evidence-based treatment plans.

Sponsors & Collaborators

  • Fatih Sultan Mehmet Training and Research Hospital

    lead OTHER

Principal Investigators

  • Yunus Emre Doğan, MD · Istanbul Fatih Sultan Mehmet Training and Research Hospital

  • Feyza Akan Begoğlu, MD · Istanbul Fatih Sultan Mehmet Training and Research Hospital

  • Mesut Canlı, MD · Istanbul Fatih Sultan Mehmet Training and Research Hospital

  • İlknur Aktaş, MD, Prof. · Istanbul Fatih Sultan Mehmet Training and Research Hospital

  • Feyza Ünlü Özkan, MD, Prof. · Istanbul Fatih Sultan Mehmet Training and Research Hospital

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-03-15
Primary Completion
2026-04-01
Completion
2026-04-01

Countries

  • Turkey (Türkiye)

Study Locations

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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 NCT07485465 on ClinicalTrials.gov