Automatic SCOring of Atopic Dermatitis Using Deep Learning: A Pilot Study
Our ASCORAD (Automatic SCORing of Atopic Dermatitis) study, a collaboration with Dr. Ramon Grimalt, was published in the Journal of Investigative Dermatology (JID) Innovations. This study details our approach to automating severity assessment of atopic dermatitis and eczema.
Medela, A., Mac Carthy, T., Aguilar Robles, S. A., Chiesa-Estomba, C. M., & Grimalt, R. (2022). Automatic SCOring of Atopic Dermatitis Using Deep Learning: A Pilot Study. In JID Innovations (Vol. 2, Issue 3, p. 100107). Elsevier BV. https://doi.org/10.1016/j.xjidi.2022.100107
This work is further acknowledged in recent scientific literature, highlighting its potential to revolutionize AD severity assessment.
(...) very promising is the attempt to arrive at an automatic definition of AD severity by using CNNs (...) to achieve a scoring accuracy of erythema, papulation, excoriation, and lichenification severity comparable to that of dermatologists (...). Computational applicative advances in this direction have led to the more recent design of Automatic SCORing Atopic Dermatitis (ASCORAD).
Discover more about ASCORAD from its authors in this webinar (in Spanish).
In this video (in Spanish), Dr Ramon Grimalt and Alfonso Medela, both co-authors of the publication, explain what the paper is about.