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Automatic Urticaria Activity Score (AUAS): Deep Learning-based Automatic Hive Counting for Urticaria Severity Assessment

· One min read
Journal of Investigative Dermatology
Journal of Investigative Dermatology
Peer-reviewed journal

The Automatic Urticaria Activity Score (AUAS) system has been published in the Journal of Investigative Dermatology (JID) Innovations, showcasing our deep learning-based approach for urticaria severity assessment.

Mac Carthy, T., Hernández Montilla, I., Aguilar, A., García Castro, R., González Pérez, A. M., Vilas Sueiro, A., Vergara de la Campa, L., Alfageme, F., & Medela, A. (2024). Automatic Urticaria Activity Score: Deep Learning-Based Automatic Hive Counting for Urticaria Severity Assessment. In JID Innovations (Vol. 4, Issue 1, p. 100218). Elsevier BV. https://doi.org/10.1016/j.xjidi.2023.100218

Our work on the AUAS was presented at congresses such as the AEDV annual meeting in the year 2021. The following video shows a short explanation of the AUAS in the congress mentioned above:

In this video (in Spanish), Taig Mac Carthy, co-author of the publication, shares how the automatic UAS for urticaria works, at the annual congress of the Spanish Dermatology Academy.