{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,1]],"date-time":"2026-09-01T12:51:25Z","timestamp":1788267085690,"version":"build-2803163510"},"reference-count":17,"publisher":"JMIR Publications Inc.","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JMIR Dermatol"],"abstract":"Abstract<\/jats:title>\n \n Background<\/jats:title>\n Acne vulgaris (AV) is one of the most common skin disorders, with a peak incidence in adolescence and early adulthood. Topical treatments are usually used for mild to moderate AV; however, a lack of adherence to topical treatment is seen in patients due to various reasons. Therefore, personalized skincare recommendations may be beneficial for treating mild-to-moderate AV.<\/jats:p>\n <\/jats:sec>\n \n Objective<\/jats:title>\n This study aimed to evaluate the effectiveness of a novel machine learning approach in predicting the optimal treatment for mild-to-moderate AV based on self-assessment and objective measures.<\/jats:p>\n <\/jats:sec>\n \n Methods<\/jats:title>\n A randomized, evaluator-blinded, parallel-group study was conducted on 100 patients recruited from an internet-based database and randomized in a 1:1 ratio (groups A and B) based on their consent form submission. Groups A and B received customized product recommendations using a Bayesian machine learning model and self-selected treatments, respectively. The patients submitted self-assessed disease scores and photographs after the 8-week treatment. The primary and secondary outcomes were photograph evaluation by two board-certified dermatologists using the Investigator Global Assessment (IGA) scores and quality of life (QoL) measured using the Dermatology Life Quality Index (DLQI), respectively.<\/jats:p>\n <\/jats:sec>\n \n Results<\/jats:title>\n \n Overall, 99 patients were screened, and 68 patients (mean age: 27 years, SD 4.56 years) were randomized into groups A (customized) and B (self-selected). IGA scores significantly improved after treatment in group A but not in group B (mean difference in IGA score; group A=0.32,\n P<\/jats:italic>\n =.04 vs group B=0.09,\n P<\/jats:italic>\n =.54). The DLQI significantly improved in group A from 7.75 at baseline to 3.5 (\n P<\/jats:italic>\n <.001) after treatment but reduced in group B from 7.53 to 5.3 (\n P<\/jats:italic>\n >.05). IGA scores and the DLQI were significantly correlated in group A, but not in group B. A total of 3 patients reported adverse reactions in group B, but none in group A.\n <\/jats:p>\n <\/jats:sec>\n \n Conclusions<\/jats:title>\n Using a machine learning model for personalized skincare recommendations significantly reduced symptoms and improved severity and overall QoL of patients with mild-to-moderate AV, supporting the potential of machine learning-based personalized treatment options in dermatology.<\/jats:p>\n <\/jats:sec>","DOI":"10.2196\/60883","type":"journal-article","created":{"date-parts":[[2025,5,8]],"date-time":"2025-05-08T02:10:07Z","timestamp":1746670207000},"page":"e60883-e60883","source":"Crossref","is-referenced-by-count":2,"title":["Effectiveness of a Machine Learning-Enabled Skincare Recommendation for Mild-to-Moderate Acne Vulgaris: 8-Week Evaluator-Blinded Randomized Controlled Trial"],"prefix":"10.2196","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-5993-7454","authenticated-orcid":false,"given":"Misbah Noshela","family":"Ghazanfar","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-1433-093X","authenticated-orcid":false,"given":"Ali","family":"Al-Mousawi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-8299-6492","authenticated-orcid":false,"given":"Christian","family":"Riemer","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-5288-7875","authenticated-orcid":false,"given":"Ben\u00f3n\u00fd \u00de\u00f3r","family":"Bj\u00f6rnsson","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-4079-1888","authenticated-orcid":false,"given":"Charlotte","family":"Boissard","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-9149-3524","authenticated-orcid":false,"given":"Ivy","family":"Lee","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2411-7177","authenticated-orcid":false,"given":"Zarqa","family":"Ali","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4838-300X","authenticated-orcid":false,"given":"Simon Francis","family":"Thomsen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1010","published-online":{"date-parts":[[2025,7,16]]},"reference":[{"issue":"8","key":"R1","first-page":"475","volume":"100","author":"Oge\u2019","journal-title":"Am Fam Physician"},{"issue":"5","key":"R2","doi-asserted-by":"publisher","first-page":"1006","DOI":"10.1016\/j.jaad.2023.12.017","article-title":"Guidelines of care for the management of acne vulgaris","volume":"90","author":"Reynolds","journal-title":"J Am Acad Dermatol"},{"issue":"7","key":"R3","doi-asserted-by":"publisher","first-page":"2987","DOI":"10.1177\/0300060519847367","article-title":"Topical treatment of acne vulgaris: efficiency, side effects, and adherence rate","volume":"47","author":"Sevimli Dikicier","journal-title":"J Int Med Res"},{"key":"R4","doi-asserted-by":"publisher","DOI":"10.1186\/1741-7015-8-18","article-title":"CONSORT 2010 statement: updated guidelines for reporting parallel group randomised trials","volume":"8","author":"Schulz","journal-title":"BMC Med"},{"key":"R5","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2019.103238","article-title":"Bayesian approach to incorporating different types of biomedical knowledge bases into information retrieval systems for clinical decision support in precision medicine","volume":"98","author":"Balaneshinkordan","journal-title":"J Biomed Inform"},{"key":"R6","unstructured":"The Danish national committee on health research ethics. 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