{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,21]],"date-time":"2026-09-21T21:31:54Z","timestamp":1790026314195,"version":"4.0.1"},"reference-count":18,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2023,6,5]],"date-time":"2023-06-05T00:00:00Z","timestamp":1685923200000},"content-version":"vor","delay-in-days":4,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"},{"start":{"date-parts":[[2023,6,1]],"date-time":"2023-06-01T00:00:00Z","timestamp":1685577600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Skin Research and Technology"],"published-print":{"date-parts":[[2023,6]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>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\u2010consuming and manual process, with high inter\u2010observer variability and high dependence on the observer's expertise.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Materials and methods<\/jats:title>\n                    <jats:p>We introduce the Automatic International Hidradenitis Suppurativa Severity Score System (AIHS4), an automatic equivalent of IHS4 that deploys a deep learning model for lesion detection, called Legit.Health\u2010IHS4net, based on the YOLOv5 architecture. AIHS4 was trained on Legit.Health\u2010HS\u2010IHS4, a collection of HS images manually annotated by six specialists and processed by a novel knowledge unification algorithm.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>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.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Our work proves the potential usefulness of artificial intelligence in the practice of evidence\u2010based 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.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/srt.13357","type":"journal-article","created":{"date-parts":[[2023,6,7]],"date-time":"2023-06-07T18:00:03Z","timestamp":1686160803000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":28,"title":["Automatic International Hidradenitis Suppurativa Severity Score System (AIHS4): A novel tool to assess the severity of hidradenitis suppurativa using artificial intelligence"],"prefix":"10.1111","volume":"29","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0356-6619","authenticated-orcid":false,"given":"Ignacio","family":"Hern\u00e1ndez Montilla","sequence":"first","affiliation":[{"name":"Department of Medical Computer Vision and PROMs LEGIT.HEALTH  Bilbao Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5859-5439","authenticated-orcid":false,"given":"Alfonso","family":"Medela","sequence":"additional","affiliation":[{"name":"Department of Medical Computer Vision and PROMs LEGIT.HEALTH  Bilbao Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5583-5273","authenticated-orcid":false,"given":"Taig","family":"Mac Carthy","sequence":"additional","affiliation":[{"name":"Department of Clinical Endpoint Innovation LEGIT.HEALTH  Bilbao Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0618-6179","authenticated-orcid":false,"given":"Andy","family":"Aguilar","sequence":"additional","affiliation":[{"name":"Department of Clinical Endpoint Innovation LEGIT.HEALTH  Bilbao Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1379-6541","authenticated-orcid":false,"given":"Pedro","family":"G\u00f3mez Tejerina","sequence":"additional","affiliation":[{"name":"Department of Medical Computer Vision and PROMs LEGIT.HEALTH  Bilbao Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2681-5254","authenticated-orcid":false,"given":"Alejandro","family":"Vilas Sueiro","sequence":"additional","affiliation":[{"name":"Dermatology Unit Ferrol Teaching University Hospital Complex  Ferrol Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4702-2659","authenticated-orcid":false,"given":"Ana Mar\u00eda","family":"Gonz\u00e1lez P\u00e9rez","sequence":"additional","affiliation":[{"name":"Dermatology Unit Salamanca Teaching University Hospital  Zamora Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8646-3636","authenticated-orcid":false,"given":"Laura","family":"Vergara de la Campa","sequence":"additional","affiliation":[{"name":"Dermatology Unit Toledo Teaching University Hospital Complex  Toledo Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2712-8752","authenticated-orcid":false,"given":"Loreto","family":"Luna Bastante","sequence":"additional","affiliation":[{"name":"Dermatology Unit Rey Juan Carlos Teaching University Hospital  Madrid 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