{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,20]],"date-time":"2026-10-20T00:38:13Z","timestamp":1792456693106,"version":"4.5.0"},"reference-count":12,"publisher":"SAGE Publications","license":[{"start":{"date-parts":[[2024,11,26]],"date-time":"2024-11-26T00:00:00Z","timestamp":1732579200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Dermatitis\u00ae"],"abstract":"\n \n \n Abstract:<\/jats:italic>\n <\/jats:bold>\n <\/jats:underline>\n \n \n Background:<\/jats:italic>\n <\/jats:bold>\n <\/jats:underline>\n Allergic contact dermatitis is a common, pruritic, debilitating skin disease, affecting at least 20% of the population.\n <\/jats:p>\n \n \n \n Objective:<\/jats:italic>\n <\/jats:bold>\n <\/jats:underline>\n To prospectively validate a computer vision algorithm across all Fitzpatrick skin types.\n <\/jats:p>\n \n \n \n Methods:<\/jats:italic>\n <\/jats:bold>\n <\/jats:underline>\n Each participant was exposed to 10 allergens. The reference criterion was obtained 5 days after initial patch placement by a board-certified dermatologist. The algorithm processed photographs of the test site obtained on Day 5. Human performance in reading the photographs was also evaluated.\n <\/jats:p>\n \n \n \n Results:<\/jats:italic>\n <\/jats:bold>\n <\/jats:underline>\n A total of 206 evaluable participants [mean age 39 years, 66% (136\/206) female, and 47% with Fitzpatrick skin types IV\u2013VI] completed testing. Forty-two percent (87\/206) of participants experienced 1 or more allergic reaction resulting in a total of 132 allergic reactions. The model provided high discrimination (AUROC 0.86, 95% CI: 0.82\u20130.90) and specificity (93%, 95% CI: 92%\u201394%) but with lower sensitivity (58%, 95% CI: 49%\u201367%). Human performance interpreting the photographs ranged from providing similar performance to the algorithm to providing superior performance when combined across readers. There were no serious adverse events.\n <\/jats:p>\n \n \n \n Conclusions:<\/jats:italic>\n <\/jats:bold>\n <\/jats:underline>\n The combination of a smartphone capture of patch testing sites with deep learning yielded high discrimination across a diverse sample.\n <\/jats:p>","DOI":"10.1089\/derm.2024.0302","type":"journal-article","created":{"date-parts":[[2024,11,26]],"date-time":"2024-11-26T03:11:39Z","timestamp":1732590699000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":6,"title":["Diagnosing Allergic Contact Dermatitis Using Deep Learning: Single-Arm, Pragmatic Clinical Trial with an Observer Performance Study to Compare Artificial Intelligence Performance with Human Reader Performance"],"prefix":"10.1177","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0818-273X","authenticated-orcid":false,"given":"Rickey E.","family":"Carter","sequence":"first","affiliation":[{"name":"From the, Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA"},{"name":"Digital Innovation Lab, Mayo Clinic, Jacksonville, FL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alexander D.","family":"Weston","sequence":"additional","affiliation":[{"name":"From the, Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA"},{"name":"Digital Innovation Lab, Mayo Clinic, Jacksonville, FL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mikolaj A.","family":"Wieczorek","sequence":"additional","affiliation":[{"name":"From the, Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA"},{"name":"Digital Innovation Lab, Mayo Clinic, Jacksonville, FL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Laura M.","family":"Pacheco-Spann","sequence":"additional","affiliation":[{"name":"From the, Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sheikh","family":"Fahad","sequence":"additional","affiliation":[{"name":"From the, Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, USA"},{"name":"Digital Innovation Lab, Mayo Clinic, Jacksonville, FL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Maria A.","family":"Caruso","sequence":"additional","affiliation":[{"name":"Community Based Research Unit, Mayo Clinic, Jacksonville, FL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Miguel A.","family":"Aristizabal","sequence":"additional","affiliation":[{"name":"Department of Dermatology, Mayo Clinic, Jacksonville, FL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alison J.","family":"Bruce","sequence":"additional","affiliation":[{"name":"Department of Dermatology, Mayo Clinic, Jacksonville, FL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-3034-8626","authenticated-orcid":false,"given":"Matthew R.","family":"Hall","sequence":"additional","affiliation":[{"name":"Department of Dermatology, Mayo Clinic, Jacksonville, FL, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Charles J.","family":"Bruce","sequence":"additional","affiliation":[{"name":"Department of Cardiovascular Medicine, Mayo Clinic, Jacksonville, FL, USA."}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2024,11,26]]},"reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1089\/derm.2023.0063"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1001\/jamadermatol.2021.4314"},{"key":"e_1_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.1111\/cod.12432"},{"key":"e_1_3_2_5_2","doi-asserted-by":"publisher","DOI":"10.1053\/ajcd.2003.3160"},{"key":"e_1_3_2_6_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jaad.2013.09.047"},{"key":"e_1_3_2_7_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jaad.2005.04.077"},{"key":"e_1_3_2_8_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.mcpdig.2024.01.006"},{"key":"e_1_3_2_9_2","doi-asserted-by":"publisher","DOI":"10.1001\/archdermatol.2007.2"},{"key":"e_1_3_2_10_2","doi-asserted-by":"publisher","DOI":"10.1093\/jamiaopen\/ooaa033"},{"key":"e_1_3_2_11_2","doi-asserted-by":"publisher","DOI":"10.1111\/bjd.20141"},{"key":"e_1_3_2_12_2","doi-asserted-by":"publisher","DOI":"10.3390\/bioengineering10080924"},{"key":"e_1_3_2_13_2","doi-asserted-by":"publisher","DOI":"10.1111\/cod.13856"}],"container-title":["Dermatitis\u00ae"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.1089\/derm.2024.0302","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1089\/derm.2024.0302","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1089\/derm.2024.0302","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T06:28:06Z","timestamp":1774420086000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.1089\/derm.2024.0302"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,26]]},"references-count":12,"alternative-id":["10.1089\/derm.2024.0302"],"URL":"https:\/\/doi.org\/10.1089\/derm.2024.0302","relation":{},"ISSN":["1710-3568","2162-5220"],"issn-type":[{"value":"1710-3568","type":"print"},{"value":"2162-5220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,11,26]]},"article-number":"derm.2024.0302"}}