J. Gehlhausen, S. Luyten, Jun Deng, G. Micevic, Jeffrey M. Cohen, William Damsky, Shawn E. Cowper, Jennifer M. McNiff, Christine J. Ko
2026.1.2JOURNAL OF CUTANEOUS PATHOLOGY
tlooto Summary
The potential of attention‐based artificial intelligence models to enhance diagnostic accuracy and provide interpretable insights in differentiating these conditions is explored, serving as a proof of concept for the application of explainable AI in dermatopathology.
Abstract
Leukocytoclastic vasculitis (LCV) and microvascular occlusion (MVO) are distinct histopathologic patterns underlying dermatologic diagnoses of purpura. This study explores the potential of attention‐based artificial intelligence (AI) models to enhance diagnostic accuracy and provide interpretable insights in differentiating these conditions, serving as a proof of concept for the application of explainable AI in dermatopathology.
Citation format
GEHLHAUSEN, J., et al. Leveraging interpretable AI for deciphering signature histopathologic patterns. JOURNAL OF CUTANEOUS PATHOLOGY, 2026, 53(4): 370–376.