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To date, ultrasound has emerged as the only modality with validated diagnostic criteria, standardized scoring systems and strong international multicentre evidence and consensus, supporting its role as the first\u2010line tool for diagnosis, staging, pre\u2010surgical mapping and treatment guidance in HS. Other techniques, such as dermoscopy, magnetic resonance imaging (MRI), computed tomography (CT), Positron Emission Tomography (PET)\u2010CT, optical coherence tomography (OCT), medical infrared thermography and reflectance confocal microscopy (RCM), serve complementary or limited roles with a lower level of evidence in HS. Emerging artificial intelligence (AI) applications show promise for improving early detection, standardizing severity assessment and optimizing clinical workflows, though further validation and multicentre studies are required.<\/jats:p>","DOI":"10.1111\/jdv.70716","type":"journal-article","created":{"date-parts":[[2026,9,21]],"date-time":"2026-09-21T11:42:27Z","timestamp":1789990947000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Clinically relevant evidence on imaging and artificial intelligence in hidradenitis suppurativa"],"prefix":"10.1111","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3359-5023","authenticated-orcid":false,"given":"Ximena","family":"Wortsman","sequence":"first","affiliation":[{"name":"Department of Dermatology, Faculty of Medicine Universidad de Chile  Santiago Chile"},{"name":"Department of Dermatology, School of Medicine Pontificia Universidad Catolica de Chile  Santiago 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