{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,14]],"date-time":"2025-05-14T01:56:08Z","timestamp":1747187768558,"version":"3.40.5"},"reference-count":12,"publisher":"Wiley","issue":"5","license":[{"start":{"date-parts":[[2023,6,12]],"date-time":"2023-06-12T00:00:00Z","timestamp":1686528000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/501100004694","name":"Kaohsiung Medical University","doi-asserted-by":"publisher","award":["NCTUKMU109\u2010AI\u201005"],"award-info":[{"award-number":["NCTUKMU109\u2010AI\u201005"]}],"id":[{"id":"10.13039\/501100004694","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Photoderm Photoimm Photomed"],"published-print":{"date-parts":[[2023,9]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:sec><jats:title>Background<\/jats:title><jats:p>Identifying treatment responders after a single session of photo\u2010based procedure for hyperpigmentary disorders may be difficult.<\/jats:p><\/jats:sec><jats:sec><jats:title>Objectives<\/jats:title><jats:p>We aim to train a convolutional neural network (CNN) to test the hypothesis that there exist discernible features in pretreatment photographs for identifying favorable responses after photo\u2010based treatments for facial hyperpigmentation and develop a clinically applicable algorithm to predict treatment outcome.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Two hundred and sixty\u2010four sets of pretreatment photographs of subjects receiving photo\u2010based treatment for esthetic enhancement were obtained using the VISIA\u00ae skin analysis system. Preprocessing was done by masking the facial features of the photographs. Each set of photographs consists of five types of images. Five independently trained CNNs based on the Resnet50 backbone were developed based on these images and the results of these CNNs were combined to obtain the final result.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>The developed CNN algorithm has a prediction accuracy approaching 78.5% with area under the receiver operating characteristic curve being 0.839.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>The treatment efficacy of photo\u2010based therapies on facial skin pigmentation can be predicted based on pretreatment images.<\/jats:p><\/jats:sec>","DOI":"10.1111\/phpp.12891","type":"journal-article","created":{"date-parts":[[2023,6,12]],"date-time":"2023-06-12T13:01:16Z","timestamp":1686574876000},"page":"498-505","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Response predictor for pigment reduction after one session of photo\u2010based therapy using convolutional neural network: A\u00a0proof of concept study"],"prefix":"10.1111","volume":"39","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9515-5336","authenticated-orcid":false,"given":"Ting\u2010Ting","family":"Yang","sequence":"first","affiliation":[{"name":"Department of Dermatology Kaohsiung Medical University Hospital, Kaohsiung Medical University  Kaohsiung Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ching\u2010Wen","family":"Ma","sequence":"additional","affiliation":[{"name":"College of Artificial Intelligence National Yang Ming Chiao Tung University  Hsinchu Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jyun\u2010Wei","family":"Jhou","sequence":"additional","affiliation":[{"name":"College of Artificial Intelligence National Yang Ming Chiao Tung University  Hsinchu Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yu\u2010Ting","family":"Chen","sequence":"additional","affiliation":[{"name":"College of Artificial Intelligence National Yang Ming Chiao Tung University  Hsinchu Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4654-118X","authenticated-orcid":false,"given":"Cheng\u2010Che E.","family":"Lan","sequence":"additional","affiliation":[{"name":"Department of Dermatology Kaohsiung Medical University Hospital, Kaohsiung Medical University  Kaohsiung Taiwan"},{"name":"Department of Dermatology, College of Medicine Kaohsiung Medical University  Kaohsiung Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2023,6,12]]},"reference":[{"doi-asserted-by":"publisher","key":"e_1_2_10_2_1","DOI":"10.1111\/jocd.13260"},{"doi-asserted-by":"publisher","key":"e_1_2_10_3_1","DOI":"10.1002\/lsm.23244"},{"doi-asserted-by":"publisher","key":"e_1_2_10_4_1","DOI":"10.1111\/j.1524-4725.2011.01971.x"},{"doi-asserted-by":"publisher","key":"e_1_2_10_5_1","DOI":"10.1097\/DSS.0000000000001697"},{"issue":"6","key":"e_1_2_10_6_1","first-page":"45","article-title":"Current trends in intense pulsed light","volume":"5","author":"Goldberg DJ","year":"2012","journal-title":"J Clin Aesthet Dermatol"},{"doi-asserted-by":"publisher","key":"e_1_2_10_7_1","DOI":"10.4103\/JCAS.JCAS_179_18"},{"doi-asserted-by":"publisher","key":"e_1_2_10_8_1","DOI":"10.4103\/0974-2077.99436"},{"doi-asserted-by":"publisher","key":"e_1_2_10_9_1","DOI":"10.4103\/ijdvl.IJDVL_1086_16"},{"doi-asserted-by":"publisher","key":"e_1_2_10_10_1","DOI":"10.1016\/j.jaad.2020.05.053"},{"doi-asserted-by":"publisher","key":"e_1_2_10_11_1","DOI":"10.1038\/nature21056"},{"doi-asserted-by":"publisher","key":"e_1_2_10_12_1","DOI":"10.1001\/jamadermatol.2018.4378"},{"doi-asserted-by":"crossref","unstructured":"HeK ZhangX RenS SunJ.Deep residual learning for image recognition. 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Las Vegas NV USA. 2016; 770\u2013778.","key":"e_1_2_10_13_1","DOI":"10.1109\/CVPR.2016.90"}],"container-title":["Photodermatology, Photoimmunology &amp; Photomedicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1111\/phpp.12891","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,15]],"date-time":"2023-09-15T14:42:38Z","timestamp":1694788958000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1111\/phpp.12891"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,12]]},"references-count":12,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2023,9]]}},"alternative-id":["10.1111\/phpp.12891"],"URL":"https:\/\/doi.org\/10.1111\/phpp.12891","archive":["Portico"],"relation":{},"ISSN":["0905-4383","1600-0781"],"issn-type":[{"type":"print","value":"0905-4383"},{"type":"electronic","value":"1600-0781"}],"subject":[],"published":{"date-parts":[[2023,6,12]]},"assertion":[{"value":"2023-02-28","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2023-05-26","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2023-06-12","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}