a domain-specific, custom-trained large language model for the differential diagnosis and treatment planning of lymphedema, lipedema, and venous insufficiency
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.
Study summary
A domain-specific, custom-trained large language model for the differential diagnosis and treatment planning of lymphedema, lipedema, and venous insufficiency.
Eligibility
Sex
ALL
Min age
18 Years
Max age
—
Healthy volunteers
No
Inclusion Criteria:
* Patients over the age of 18
* Clinical diagnosis of lymphoedema
* Clinical diagnosis of lipoedema
* Clinical diagnosis of venous insufficiency
Exclusion Criteria:
* Lack of medical history
* Lack of demographic data
* Lack of clinical data and
* Lack of imaging methods
Primary outcome measure(s)
Diagnostic accuracy rate — 1 hour Percentage of cases where the primary diagnosis (most likely diagnosis) was correctly determined. The maximum percentage for each case was 100, and the minimum percentage was 0. Higher percentages mean a better outcome.
Treatment adequacy rate — 1 hour Percentage of treatment recommendations consistent with current guidelines. The maximum percentage for each case was 100, and the minimum percentage was 0. Higher percentages mean a better outcome.
Average criterion score — 1 hour Average Likert score of two evaluators for each criterion. The maximum score for each case was 40, and the minimum score was 8. higher scores mean a better outcome.
Trial sites (1)
Facility
City
Region
Status
Istanbul Fatih Sultan Mehmet Training and Research Hospital
Istanbul
Istanbul
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This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.
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