{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T10:43:48Z","timestamp":1776077028262,"version":"3.50.1"},"reference-count":16,"publisher":"Wiley","issue":"10","license":[{"start":{"date-parts":[[2024,6,7]],"date-time":"2024-06-07T00:00:00Z","timestamp":1717718400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["The Journal of Dermatology"],"published-print":{"date-parts":[[2024,10]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Nail psoriasis is a chronic condition characterized by nail dystrophy affecting the nail matrix and bed. The severity of nail psoriasis is commonly assessed using the Nail Psoriasis Severity Index (NAPSI), which evaluates the characteristics and extent of nail involvement. Although the NAPSI is numeric, reproducible, and simple, the assessment process is time\u2010consuming and often challenging to use in real\u2010world clinical settings. To overcome the time\u2010consuming nature of NAPSI assessment, we aimed to develop a deep learning algorithm that can rapidly and reliably evaluate NAPSI, thereby providing numerous clinical and research advantages. We developed a dataset consisting of 7054 single fingernail images cropped from images of the dorsum of the hands of 634 patients with psoriasis. We annotated the eight features of the NAPSI in a single nail using bounding boxes and trained the YOLOv7\u2010based deep learning algorithm using this annotation. The performance of the deep learning algorithm (DLA) was evaluated by comparing the NAPSI estimated using the DLA with the ground truth of the test dataset. The NAPSI evaluated using the DLA differed by 2 points from the ground truth in 98.6% of the images. The accuracy and mean absolute error of the model were 67.6% and 0.449, respectively. The intraclass correlation coefficient was 0.876, indicating good agreement. Our results showed that the DLA can rapidly and accurately evaluate the NAPSI. The rapid and accurate NAPSI assessment by the DLA is not only applicable in clinical settings, but also provides research advantages by enabling rapid NAPSI evaluations of previously collected nail images.<\/jats:p>","DOI":"10.1111\/1346-8138.17313","type":"journal-article","created":{"date-parts":[[2024,6,7]],"date-time":"2024-06-07T10:39:35Z","timestamp":1717756775000},"page":"1310-1317","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Automatic evaluation of Nail Psoriasis Severity Index using deep learning algorithm"],"prefix":"10.1111","volume":"51","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5706-2371","authenticated-orcid":false,"given":"Kyungho","family":"Paik","sequence":"first","affiliation":[{"name":"Department of Dermatology Seoul National University Bundang Hospital  Seongnam Korea"},{"name":"Department of Dermatology Seoul National University College of Medicine  Seoul Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2223-1606","authenticated-orcid":false,"given":"Bo Ri","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of Dermatology Seoul National University Bundang Hospital  Seongnam Korea"},{"name":"Department of Dermatology Seoul National University College of Medicine  Seoul Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5602-3530","authenticated-orcid":false,"given":"Sang Woong","family":"Youn","sequence":"additional","affiliation":[{"name":"Department of Dermatology Seoul National University Bundang Hospital  Seongnam Korea"},{"name":"Department of Dermatology Seoul National University College of Medicine  Seoul Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2024,6,7]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jaad.2019.01.072"},{"key":"e_1_2_8_3_1","doi-asserted-by":"publisher","DOI":"10.5114\/reum.2017.68912"},{"key":"e_1_2_8_4_1","doi-asserted-by":"publisher","DOI":"10.5021\/ad.2017.29.1.48"},{"key":"e_1_2_8_5_1","doi-asserted-by":"publisher","DOI":"10.3899\/jrheum.201471"},{"key":"e_1_2_8_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jaad.2022.12.031"},{"key":"e_1_2_8_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jaad.2014.02.010"},{"key":"e_1_2_8_8_1","first-page":"123","article-title":"The modified nail psoriasis severity index: validation of an instrument to assess psoriatic nail involvement in patients with psoriatic arthritis","volume":"34","author":"Cassell SE","year":"2007","journal-title":"J Rheumatol"},{"key":"e_1_2_8_9_1","doi-asserted-by":"publisher","DOI":"10.1067\/S0190-9622(03)00910-1"},{"key":"e_1_2_8_10_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1468-3083.2007.02389.x"},{"key":"e_1_2_8_11_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-023-32440-8"},{"key":"e_1_2_8_12_1","doi-asserted-by":"publisher","DOI":"10.1093\/ckj\/sfaa188"},{"key":"e_1_2_8_13_1","doi-asserted-by":"crossref","unstructured":"WangC\u2010Y BochkovskiyA LiaoH\u2010YM.YOLOv7: trainable bag\u2010of\u2010freebies sets new state\u2010of\u2010the\u2010art for real\u2010time object detectors. Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Vancouver BC Canada 2023 pp. 7464\u20137475.https:\/\/doi.org\/10.1109\/CVPR52729.2023.00721.","DOI":"10.1109\/CVPR52729.2023.00721"},{"key":"e_1_2_8_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jcm.2016.02.012"},{"key":"e_1_2_8_15_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1365-2230.2006.02305.x"},{"key":"e_1_2_8_16_1","doi-asserted-by":"publisher","DOI":"10.1111\/jdv.17711"},{"key":"e_1_2_8_17_1","doi-asserted-by":"publisher","DOI":"10.1111\/1346-8138.16752"}],"updated-by":[{"DOI":"10.1111\/1346-8138.17556","type":"correction","label":"Correction","source":"publisher","updated":{"date-parts":[[2024,11,26]],"date-time":"2024-11-26T00:00:00Z","timestamp":1732579200000}}],"container-title":["The Journal of Dermatology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1111\/1346-8138.17313","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,3]],"date-time":"2024-10-03T07:22:27Z","timestamp":1727940147000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1111\/1346-8138.17313"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,7]]},"references-count":16,"journal-issue":{"issue":"10","published-print":{"date-parts":[[2024,10]]}},"alternative-id":["10.1111\/1346-8138.17313"],"URL":"https:\/\/doi.org\/10.1111\/1346-8138.17313","archive":["Portico"],"relation":{"correction":[{"id-type":"doi","id":"10.1111\/1346-8138.17556","asserted-by":"object"}]},"ISSN":["0385-2407","1346-8138"],"issn-type":[{"value":"0385-2407","type":"print"},{"value":"1346-8138","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,6,7]]},"assertion":[{"value":"2024-03-27","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2024-05-16","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2024-06-07","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}