VLM Models and Automated Grading of Atopic Dermatitis
Journal:
arXiv
Published Date:
May 23, 2025
Abstract
The task of grading atopic dermatitis (or AD, a form of eczema) from patient
images is difficult even for trained dermatologists. Research on automating
this task has progressed in recent years with the development of deep learning
solutions; however, the rapid evolution of multimodal models and more
specifically vision-language models (VLMs) opens the door to new possibilities
in terms of explainable assessment of medical images, including dermatology.
This report describes experiments carried out to evaluate the ability of seven
VLMs to assess the severity of AD on a set of test images.
