Accurate assessment of Epidermolysis Bullosa (EB) lesions is essential for monitoring disease progression and optimizing treatment strategies. However conventional lesion evaluation methods necessitate in-person visits, posing a significant burden for patients. Our proof-of-concept study aimed to improve EB lesion assessment using single-image analysis, facilitating remote evaluation and reducing the need for in-person clinical visits.
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