{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,30]],"date-time":"2026-07-30T14:09:31Z","timestamp":1785420571464,"version":"3.56.0"},"reference-count":18,"publisher":"Wiley","license":[{"start":{"date-parts":[[2026,7,30]],"date-time":"2026-07-30T00:00:00Z","timestamp":1785369600000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,7,30]],"date-time":"2026-07-30T00:00:00Z","timestamp":1785369600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/100010793","name":"Pfizer Japan","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100010793","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["The Journal of Dermatology"],"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>Accurate assessment of the severity of atopic dermatitis is crucial for guiding treatment. However, the Eczema Area and Severity Index (EASI), a widely used clinical assessment tool, relies on subjective visual scoring, which can lead to inter\u2010rater variability. This study aimed to evaluate the performance of convolutional neural network\u2010based artificial intelligence software in assessing atopic dermatitis severity from uncropped, unmasked skin images acquired under uncontrolled conditions. In this prospective, multicenter observational study involving 16 Japanese institutions, 1016 patients with atopic dermatitis provided 3676 smartphone\u2010captured skin images. A ConvNeXt\u2010based artificial intelligence model was trained to predict the severity scores for four established signs of the EASI\u2014erythema, papulation\/edema, excoriation, and lichenification\u2014and these were evaluated using receiver operating characteristic analysis against dermatologist assessments. For an EASI component score of \u2265\u20092, the area under the receiver operating characteristic curve ranged from 0.825 to 0.860 across signs, with sensitivities of 0.745\u20130.873 and specificities of 0.675\u20130.764. For a component severity score of 3, the area under the receiver operating characteristic curve exceeded 0.900, with sensitivity up to 1.000 and specificity up to 0.906. The area under the receiver operating characteristic curve for a severity score of \u2265\u20091 remained consistently &gt;\u20090.700. Among the four evaluated signs, erythema demonstrated the highest accuracy, whereas papulation\/edema showed the lowest. This ConvNeXt\u2010based artificial intelligence software demonstrated robust performance in evaluating atopic dermatitis severity using real\u2010world images. As an educational tool, it may support standardized training and reduce inter\u2010rater variability in EASI sign scoring. It is not intended for direct clinical decision\u2010making at this stage.<\/jats:p>","DOI":"10.1111\/1346-8138.70434","type":"journal-article","created":{"date-parts":[[2026,7,30]],"date-time":"2026-07-30T13:29:58Z","timestamp":1785418198000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Educational Artificial Intelligence Software to Support Assessment of Atopic Dermatitis Severity"],"prefix":"10.1111","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-0649-7148","authenticated-orcid":false,"given":"Kenichi","family":"Yamanaka","sequence":"first","affiliation":[{"name":"Specialty Care Medical Affairs Pfizer Japan Inc.  Tokyo Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4043-1011","authenticated-orcid":false,"given":"Ya\u011fmur","family":"Pak","sequence":"additional","affiliation":[{"name":"Medical Enablement &amp; Quality, Chief Medical Office Pfizer Belgium  Brussels Belgium"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-3868-532X","authenticated-orcid":false,"given":"Yoshihiro","family":"Inda","sequence":"additional","affiliation":[{"name":"Digital Pfizer Japan Inc.  Tokyo Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Toshiaki","family":"Nomi","sequence":"additional","affiliation":[{"name":"M3 Inc.  Tokyo Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Keisuke","family":"Ogaki","sequence":"additional","affiliation":[{"name":"M3 Inc.  Tokyo Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2874-1807","authenticated-orcid":false,"given":"Masato","family":"Hoshi","sequence":"additional","affiliation":[{"name":"Specialty Care Medical Affairs Pfizer Japan Inc.  Tokyo Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2296-6004","authenticated-orcid":false,"given":"Kouki","family":"Nakamura","sequence":"additional","affiliation":[{"name":"Specialty Care Medical Affairs Pfizer Japan Inc.  Tokyo Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,7,30]]},"reference":[{"key":"e_1_2_11_2_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41572\u2010018\u20100001\u2010z"},{"key":"e_1_2_11_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.anai.2018.07.006"},{"key":"e_1_2_11_4_1","doi-asserted-by":"publisher","DOI":"10.1111\/jdv.20248"},{"key":"e_1_2_11_5_1","doi-asserted-by":"publisher","DOI":"10.1097\/der.0000000000000895"},{"key":"e_1_2_11_6_1","doi-asserted-by":"publisher","DOI":"10.1111\/bjd.13237"},{"key":"e_1_2_11_7_1","doi-asserted-by":"publisher","DOI":"10.1034\/j.1600\u20100625.2001.100102.x"},{"key":"e_1_2_11_8_1","doi-asserted-by":"publisher","DOI":"10.1089\/derm.2025.0054"},{"key":"e_1_2_11_9_1","doi-asserted-by":"publisher","DOI":"10.1038\/nature21056"},{"key":"e_1_2_11_10_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0191493"},{"key":"e_1_2_11_11_1","doi-asserted-by":"publisher","DOI":"10.1111\/jdv.17711"},{"key":"e_1_2_11_12_1","doi-asserted-by":"publisher","DOI":"10.1111\/jdv.20328"},{"key":"e_1_2_11_13_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41598\u2010021\u201085489\u20108"},{"key":"e_1_2_11_14_1","doi-asserted-by":"publisher","DOI":"10.1007\/978\u20103\u2010030\u201059861\u20107_23"},{"key":"e_1_2_11_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.xjidi.2023.100213"},{"key":"e_1_2_11_16_1","doi-asserted-by":"crossref","first-page":"11966","DOI":"10.1109\/CVPR52688.2022.01167","volume-title":"2022 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","author":"Liu Z.","year":"2022"},{"key":"e_1_2_11_17_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00134\u2010003\u20101761\u20108"},{"key":"e_1_2_11_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.xjidi.2022.100107"},{"key":"e_1_2_11_19_1","doi-asserted-by":"publisher","DOI":"10.3390\/jcm9041018"}],"container-title":["The Journal of Dermatology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1111\/1346-8138.70434","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/full-xml\/10.1111\/1346-8138.70434","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1111\/1346-8138.70434","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,30]],"date-time":"2026-07-30T13:29:59Z","timestamp":1785418199000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1111\/1346-8138.70434"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,30]]},"references-count":18,"alternative-id":["10.1111\/1346-8138.70434"],"URL":"https:\/\/doi.org\/10.1111\/1346-8138.70434","archive":["Portico"],"relation":{},"ISSN":["0385-2407","1346-8138"],"issn-type":[{"value":"0385-2407","type":"print"},{"value":"1346-8138","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,7,30]]},"assertion":[{"value":"2026-02-26","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2026-07-25","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2026-07-30","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"1346-8138.70434"}}