{"id":45553,"date":"2023-08-02T09:47:16","date_gmt":"2023-08-02T00:47:16","guid":{"rendered":"https:\/\/book.whiteipl.com\/?page_id=45553"},"modified":"2025-05-29T14:19:40","modified_gmt":"2025-05-29T05:19:40","slug":"papers","status":"publish","type":"page","link":"https:\/\/book.skindx.net\/index.php\/papers\/","title":{"rendered":"\ub17c\ubb38\/ \ud559\ud68c \ubc1c\ud45c"},"content":{"rendered":"

2025<\/strong>: NEJM AI \uc758 “Multimodal Image Dataset for AI-Based Skin Cancer (MIDAS) Benchmarking<\/a>” \uc5d0 \uc2a4\ud0e0\ud3ec\ub4dc\ub300, \ud074\ub9ac\ube0c\ub79c\ub4dc \ud074\ub9ac\ub2c9, MSKCC, \ube44\uc5d4\ub098\ub300\uc640 \ud568\uaed8 \ud53c\ubd80\uc554 \uad00\ub828 \uc5f0\uad6c\uc5d0 \uacf5\uc800\ub85c \ucc38\uc5ec\ud558\uc600\uc2b5\ub2c8\ub2e4. NEJM AI \ub294 \ucd5c\uc0c1\uc704 \uc758\ub8cc\uc800\ub110\ub85c \ud55c\uad6d\uc758\ub8cc\uc9c4\uc73c\ub85c\u00a0\ucc98\uc74c \uc774\ub984\uc744 \uc62c\ub838\uc2b5\ub2c8\ub2e4.<\/p>\n

2024<\/strong>: JEADV (IF= 9.2) \uc5d0 “Melanoma detection: Evaluating the classification performance of a deep convolutional neural network and dermatologist assessment via a mobile app in an Italian real-world setting<\/a>” \ub85c \ub17c\ubb38\uc774 \ub098\uc654\uc2b5\ub2c8\ub2e4. \uc774\ud0c8\ub9ac\uc544\uc5d0\uc11c \uc2e4\uc2dc\ub41c \ud751\uc0c9\uc885 \uc9c4\ub2e8\uc5d0 \uad00\ub828\ub41c \uc5f0\uad6c\ub85c \uacf5\uc800\ub85c \ucc38\uc5ec\ud558\uc600\uc2b5\ub2c8\ub2e4.<\/p>\n

2023<\/strong>: JAMA Dermatology (IF= 11.8) \uc758 “Generation of a Melanoma and Nevus Dataset from Unstandardized Clinical Photographs on the Internet<\/a>” \uc5d0 senior author \ub85c \ucc38\uac00\ud558\uc600\uc2b5\ub2c8\ub2e4. JAMA Dermatology \ub294 \uc6b0\ub9ac\ub098\ub77c\uc5d0\uc11c 1\ub144\uc5d0 1~2\ud3b8\ub9cc \ub0b4\ub294 \ud53c\ubd80\uacfc \ucd5c\uc0c1\uc704\uc800\ub110\uc785\ub2c8\ub2e4. \uc2a4\ud0e0\ud3ec\ub4dc\ub300, \uc544\uc0b0\ubcd1\uc6d0, \uc11c\uc6b8\ub300 \ub4f1\uacfc\uc758 \uacf5\ub3d9\uc5f0\uad6c\uc785\ub2c8\ub2e4.<\/p>\n

2023:\u00a0<\/b>25th World Congress of Dermatology (https:\/\/www.wcd2023singapore.org\/<\/a>) \uc5d0 \ucd08\uccad\uc5f0\uc790\ub85c \ubc1c\ud45c\ud558\uc600\uc2b5\ub2c8\ub2e4. \uc2ec\ud3ec\uc9c0\uc6c0 \uc138\uc158\uc5d0\ub294\u00a0Harvard \uc758\ub300 Vinod Nambudiri,\u00a0Google \uc758\u00a0Peggy Bui, \uc2a4\uc704\uc2a4 Basel \uc758\ub300 Alexander Navarini, \uc544\uc774\ud53c\ubd80\uacfc \ud55c\uc2b9\uc11d, 4\uba85\uc774 \uc5f0\uc790\ub85c \ucd08\uccad\ub418\uc5c8\uace0, \uac15\uc758 \uc8fc\uc81c\ub294 “Looking for the diagnosis online – The good, the bad, the ugly” \uc785\ub2c8\ub2e4.<\/p>\n

2023:\u00a0<\/b>Journal of Clinical Medicine (IF=5.4) \uc758 “Evaluation\u00a0of\u00a0the\u00a0Pinhole\u00a0Method\u00a0Using\u00a0Carbon\u00a0Dioxide\u00a0Laser on Facial Telangiectasia<\/a>” \uc5d0 \uacf5\uc800\ub85c \ucc38\uac00\ud558\uc600\uc2b5\ub2c8\ub2e4. \ud608\uad00 \ubcd1\ubcc0\uc758 \ub808\uc774\uc800\uce58\ub8cc\uc5d0 \uad00\ud55c \uc5f0\uad6c\uc785\ub2c8\ub2e4.<\/p>\n

2022<\/b>: Journal of Investigative Dermatology (IF=8.5) \uc758 “Evaluation of Artificial Intelligence-assisted Diagnosis of Skin Neoplasms<\/a> \u2013 a single-enter, paralleled, unmasked, randomized controlled trial.” \uc5d0 1\uc800\uc790\ub85c \ucc38\uc5ec\ud558\uc600\uc2b5\ub2c8\ub2e4. \ud53c\ubd80\uc554 \uc9c4\ub2e8 \uad00\ub828 \uc5f0\uad6c\uc785\ub2c8\ub2e4.<\/p>\n

<\/span><\/figure>\n

2018~2020<\/b>: Journal of Investigative Dermatology \uc758 \uac00\uc7a5 \ub9ce\uc774 \uc778\uc6a9\ub41c \ub17c\ubb38\uc73c\ub85c \uc120\uc815\ub418\uc5c8\uc2b5\ub2c8\ub2e4. \uc804\uc138\uacc4 \ubaa8\ub4e0 \ud53c\ubd80\uacfc \uc800\ub110\uc744 \ud1b5\ud2c0\uc5b4\uc11c \uc6d0\uc800 \uc911\uc5d0 \uc81c\uc77c \ub9ce\uc774 \uc778\uc6a9\ub41c \ub17c\ubb38 (229 \ud68c \uc778\uc6a9) \uc785\ub2c8\ub2e4.<\/p>\n

2021<\/b>: JAMA Dermatology (IF=10.3;\u00a0https:\/\/doi.org\/10.1001\/jamadermatol.2021.4915<\/a>)\uc5d0 CLEAR Derm Guideline \uc5d0 \uacf5\uc800\ub85c \ucc38\uc5ec\ud558\uc600\uc2b5\ub2c8\ub2e4.<\/p>\n

2020<\/b>:\u00a0\uc885\ud569\uc758\ud559 \uc800\ub110\uc778 PLOS Medicine (IF=10.5) \uc5d0 \uc81c1\uc800\uc790\ub85c \uac8c\uc7ac\ud558\uc600\uc2b5\ub2c8\ub2e4. \ucd94\uac00\ub85c\u00a0Journal of Investigative Dermatology (IF=7.143)\uc5d0 2\ud3b8, Plos One \uc5d0 1\ud3b8 (IF=2.740)\u00a0\uc5d0 1\ud3b8 \uc81c 1\uc800\uc790\ub85c \uac8c\uc7ac\ud558\uc600\uc2b5\ub2c8\ub2e4.<\/p>\n

2019<\/b>:\u00a0JAMA Dermatology (IF=7.995;\u00a0https:\/\/jamanetwork.com\/journals\/jamadermatology\/article-abstract\/2756346<\/a>) \uc5d0 \uc81c 1\uc800\uc790\ub85c publish \ud558\uc600\uc2b5\ub2c8\ub2e4.<\/p>\n

2018<\/b>:\u00a0\uc778\uacf5\uc9c0\ub2a5\uc744 \uc774\uc6a9\ud55c \ud53c\ubd80\uc554\uc758 \uc9c4\ub2e8\uc5d0 \uad00\ud55c \ub17c\ubb38\uc774\u00a0Journal of Investigative Dermatology (IF=6.448)\u00a0\uc5d0 2\uc6d4 8\uc77c \uac8c\uc81c\ub418\uc5c8\uc2b5\ub2c8\ub2e4.\u00a0\ud55c\uc2b9\uc11d \uc6d0\uc7a5\ub2d8\uc740 \uc81c1\uc800\uc790\ub85c \uc544\uc0b0\ubcd1\uc6d0 \ud53c\ubd80\uacfc\uc640 \uc778\uc81c\ub300\ud559\uad50 \ud53c\ubd80\uacfc \ub4f1\uacfc\u00a0\uacf5\ub3d9 \uc5f0\uad6c\ud558\uc600\uc2b5\ub2c8\ub2e4.\u00a06\uc6d4 1\uc77c \ucd94\uac00 \ub17c\ubb38 (Interpretation of the Outputs of a Deep Learning Model Trained with a Skin Cancer Dataset) \uc774 \ud55c\uc2b9\uc11d \uc6d0\uc7a5\ub2d8\uc744 \uc81c1\uc800\uc790\ub85c Journal of Investigative Dermatology (IF=6.448) \uc5d0 \ub2e4\uc2dc \ud55c\ubc88 \uac8c\uc7ac\ub418\uc5c8\uc2b5\ub2c8\ub2e4.<\/p>\n","protected":false},"excerpt":{"rendered":"

2025: NEJM AI \uc758 “Multimodal Image Dataset for AI-Based Skin Cancer (MIDAS) Benchmarking” \uc5d0 \uc2a4\ud0e0\ud3ec\ub4dc\ub300, \ud074\ub9ac\ube0c\ub79c\ub4dc \ud074\ub9ac\ub2c9, MSKCC, \ube44\uc5d4\ub098\ub300\uc640 \ud568\uaed8 \ud53c\ubd80\uc554 \uad00\ub828 \uc5f0\uad6c\uc5d0 \uacf5\uc800\ub85c \ucc38\uc5ec\ud558\uc600\uc2b5\ub2c8\ub2e4. NEJM AI \ub294 \ucd5c\uc0c1\uc704 \uc758\ub8cc\uc800\ub110\ub85c \ud55c\uad6d\uc758\ub8cc\uc9c4\uc73c\ub85c\u00a0\ucc98\uc74c \uc774\ub984\uc744 \uc62c\ub838\uc2b5\ub2c8\ub2e4. 2024: JEADV (IF= 9.2) \uc5d0 “Melanoma detection: Evaluating the classification performance of a deep convolutional neural network and dermatologist assessment via a … <\/p>\n

\ub354 \ubcf4\uae30 “\ub17c\ubb38\/ \ud559\ud68c \ubc1c\ud45c”<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-45553","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/book.skindx.net\/index.php\/wp-json\/wp\/v2\/pages\/45553","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/book.skindx.net\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/book.skindx.net\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/book.skindx.net\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/book.skindx.net\/index.php\/wp-json\/wp\/v2\/comments?post=45553"}],"version-history":[{"count":16,"href":"https:\/\/book.skindx.net\/index.php\/wp-json\/wp\/v2\/pages\/45553\/revisions"}],"predecessor-version":[{"id":55793,"href":"https:\/\/book.skindx.net\/index.php\/wp-json\/wp\/v2\/pages\/45553\/revisions\/55793"}],"wp:attachment":[{"href":"https:\/\/book.skindx.net\/index.php\/wp-json\/wp\/v2\/media?parent=45553"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}