Evaluation of generative artificial intelligence in producing anatomically distinct lipedema subtypes: A diagnostic accuracy study

Ilhan Celil Özbek, Bülent Alyanak, Burak Tayyip Dede, Mustafa Hüseyin Temel, Mustafa Turgut Yıldızgören, Fatih Bağcıer, Department of Physical Medicine and Rehabilitation, University of Health Sciences Derince Training and Research Hospital, Department of Physical Medicine and Rehabilitation, Gölcük Necati Çelik State Hospital, Department of Physical Medicine and Rehabilitation, Cemil Taşcıoğlu City Hospital, Department of Physical Medicine and Rehabilitation, University of Health Sciences Sultan Abdulhamid Han Training and Research Hospital, Department of Pyhsical Medicine and Rehabilitation, University of Necmettin Erbakan Faculty of Meram Medicine, Private Practice, Physical Medicine and Rehabilitation

Phlebology: The Journal of Venous Disease

Published online on July 02, 2026

Abstract

Phlebology, Ahead of Print.
ObjectivesGenerative artificial intelligence (AI) models capable of producing photorealistic medical images are increasingly proposed for patient education, clinical illustration, and trainee instruction. However, their ability to accurately represent ...