Automatic International Hidradenitis Suppurativa Severity Score System (AIHS4): A novel tool to assess the severity of hidradenitis suppurativa using artificial intelligence
Authors​
Ignacio Hernández, Alfonso Medela, Taig Mac Carthy, Andy Aguilar, Pedro GĂłmez, Alejandro Vilas, Ana-MarĂa González, Laura Vergara, Loreto Luna, RubĂ©n GarcĂa, Fernando Alfageme
Introduction​
Hidradenitis suppurativa (HS) is a painful chronic inflammatory skin disease that affects up to 4%of the European adult population. International Hidradenitis Suppurativa Severity Score System (IHS4) is a dynamic scoring tool that was developed to be incorporated into the doctor’s daily clinical practice and clinical studies. This helps measure disease severity and guides the therapeutic strategy. However, IHS4 assessment is a time-consuming andmanual process, with high inter-observer variability and high dependence on the observer’s expertise.
Results​
Our results show that, with the current dataset size, our tool assesses the severity of HS cases with a performance comparable to that of the most expert physician. Furthermore, the model can be implemented into CADx systems to support doctors in their clinical practice and act as a new endpoint in clinical trials.
Our work proves the potential usefulness of artificial intelligence in the practice of evidence-based dermatology: models trained on the consensus of large clinical boards have the potential to empower dermatologists in their daily practice and replace current standard clinical endpoints.
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Available at https://doi.org/10.1111/srt.13357.