NCT07485465|Not Yet Recruiting
Lymphoedema Diagnosis and Treatment
CDTL
The Role of Chat GPT in the Diagnosis and Treatment of Lymphedema
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CDTL
The Role of Chat GPT in the Diagnosis and Treatment of Lymphedema
Sponsor study identifier
observational
25
1 country
1
Study Start
March 15, 2026
Estimated (date passed)This estimate has passed. The registry has not confirmed an actual date for this milestone.
Primary Completion
April 1, 2026
Estimated (date passed)This estimate has passed. The registry has not confirmed an actual date for this milestone.
Study Completion
April 1, 2026
Estimated (date passed)This estimate has passed. The registry has not confirmed an actual date for this milestone.
A domain-specific, custom-trained large language model for the differential diagnosis and treatment planning of lymphedema, lipedema, and venous insufficiency.
Registry-reported information. Elapsed time and enrollment totals alone do not measure study progress or recruitment pace.
April 1, 2026
Estimated (date passed)This estimate has passed. The registry has not confirmed an actual date for this milestone.
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Some registry-reported names shown below are not yet linked in this graph.
Dates and qualifiers reported by the registry. Estimated dates do not confirm that a milestone has occurred.
March 4, 2026
Actual (reported)March 15, 2026
Estimated (date passed)This estimate has passed. The registry has not confirmed an actual date for this milestone.
March 20, 2026
Actual (reported)April 1, 2026
Estimated (date passed)This estimate has passed. The registry has not confirmed an actual date for this milestone.
April 1, 2026
Estimated (date passed)This estimate has passed. The registry has not confirmed an actual date for this milestone.
Diagnostic accuracy rate
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.
1 hour
Treatment adequacy rate
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.
1 hour
Average criterion score
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.
1 hour
Overall performance score
1 hour
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.
Registry-reported names are shown in full. Names without a link have not yet been matched to a Syfrah profile.
secondary lymphedema cases (post-pelvic surgery, post-breast cancer), primary lymphedema cases, lipedema cases (different types and stages), chronic venous insufficiency cases, mixed edema cases, and atypical presentations with diagnostic difficulties
Istanbul Fatih Sultan Mehmet Training and Research Hospital
Istanbul, Istanbul, 34704, Turkey (Türkiye)
Leypold T, Lingens LF, Beier JP, Boos AM. Integrating AI in Lipedema Management: Assessing the Efficacy of GPT-4 as a Consultation Assistant. Life (Basel). 2024 May 20;14(5):646. doi: 10.3390/life14050646.
Eldaly AS, Avila FR, Torres-Guzman RA, Maita K, Garcia JP, Serrano LP, Forte AJ. Artificial intelligence and lymphedema: State of the art. J Clin Transl Res. 2022 Jun 1;8(3):234-242. eCollection 2022 Jun 29.
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
First Submitted
March 4, 2026
First Posted
March 20, 2026
Study Start
March 15, 2026
Estimated (date passed)This estimate has passed. The registry has not confirmed an actual date for this milestone.
Primary Completion
April 1, 2026
High Intensity vs Low Intensity Resistive Exercise In Patient With Upper Extremity Lymphedema
Contact the study team to confirm eligibility.
Wojcik S, Rulkiewicz A, Pruszczyk P, Lisik W, Pobozy M, Domienik-Karlowicz J. Beyond ChatGPT: What does GPT-4 add to healthcare? The dawn of a new era. Cardiol J. 2023;30(6):1018-1025. doi: 10.5603/cj.97515. Epub 2023 Oct 13.
Mesko B. The Impact of Multimodal Large Language Models on Health Care's Future. J Med Internet Res. 2023 Nov 2;25:e52865. doi: 10.2196/52865.
Feyza Ünlü Özkan, MD, Prof.
Istanbul Fatih Sultan Mehmet Training and Research Hospital
This estimate has passed. The registry has not confirmed an actual date for this milestone.
Study Completion
April 1, 2026
Estimated (date passed)This estimate has passed. The registry has not confirmed an actual date for this milestone.
Last Updated
March 20, 2026
Record last verified: 2026-03
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Source: ClinicalTrials.gov.
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