Machine Learning from Digital Images in Dermatology

User and Developer Views on Using AI Technologies to Facilitate the Early Detection of Skin Cancers in Primary Care Settings: Qualitative Semistructured Interview Study

Owain Tudor Jones, Natalia Calanzani, Suzanne E Scott, Rubeta N Matin, Jon Emery, Fiona M Walter

JMIR Cancer 2025 (Jan 28); 11:e60653

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The Social Construction of Categorical Data: Mixed Methods Approach to Assessing Data Features in Publicly Available Datasets

Theresa Willem, Alessandro Wollek, Theodor Cheslerean-Boghiu, Martha Kenney, Alena Buyx

JMIR Med Inform 2025 (Jan 28); 13:e59452

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Artificial Intelligence–Aided Diagnosis System for the Detection and Classification of Private-Part Skin Diseases: Decision Analytical Modeling Study

Wei Wang, Xiang Chen, Licong Xu, Kai Huang, Shuang Zhao, Yong Wang

J Med Internet Res 2024 (Dec 27); 26:e52914

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The Depth Estimation and Visualization of Dermatological Lesions: Development and Usability Study

Pranav Parekh, Richard Oyeleke, Tejas Vishwanath

JMIR Dermatol 2024 (Dec 18); 7:e59839

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Claude 3 Opus and ChatGPT With GPT-4 in Dermoscopic Image Analysis for Melanoma Diagnosis: Comparative Performance Analysis

Xu Liu, Chaoli Duan, Min-kyu Kim, Lu Zhang, Eunjin Jee, Beenu Maharjan, Yuwei Huang, Dan Du, Xian Jiang

JMIR Med Inform 2024 (Aug 06); 12:e59273

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Saliency-Enhanced Content-Based Image Retrieval for Diagnosis Support in Dermatology Consultation: Reader Study

Mathias Gassner, Javier Barranco Garcia, Stephanie Tanadini-Lang, Fabio Bertoldo, Fabienne Fröhlich, Matthias Guckenberger, Silvia Haueis, Christin Pelzer, Mauricio Reyes, Patrick Schmithausen, Dario Simic, Ramon Staeger, Fabio Verardi, Nicolaus Andratschke, Andreas Adelmann, Ralph P Braun

JMIR Dermatol 2023 (Aug 24); 6:e42129

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Issues in Melanoma Detection: Semisupervised Deep Learning Algorithm Development via a Combination of Human and Artificial Intelligence

Xinyuan Zhang, Ziqian Xie, Yang Xiang, Imran Baig, Mena Kozman, Carly Stender, Luca Giancardo, Cui Tao

JMIR Dermatol 2022 (Dec 12); 5(4):e39113

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Leveraging Artificial Intelligence to Improve the Diversity of Dermatological Skin Color Pathology: Protocol for an Algorithm Development and Validation Study

Eman Rezk, Mohamed Eltorki, Wael El-Dakhakhni

JMIR Res Protoc 2022 (Mar 08); 11(3):e34896

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Deep Learning–Assisted Burn Wound Diagnosis: Diagnostic Model Development Study

Che Wei Chang, Feipei Lai, Mesakh Christian, Yu Chun Chen, Ching Hsu, Yo Shen Chen, Dun Hao Chang, Tyng Luen Roan, Yen Che Yu

JMIR Med Inform 2021 (Dec 02); 9(12):e22798

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Artificial Intelligence for Skin Cancer Detection: Scoping Review

Abdulrahman Takiddin, Jens Schneider, Yin Yang, Alaa Abd-Alrazaq, Mowafa Househ

J Med Internet Res 2021 (Nov 24); 23(11):e22934

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Performance of Artificial Intelligence Imaging Models in Detecting Dermatological Manifestations in Higher Fitzpatrick Skin Color Classifications

Pushkar Aggarwal

JMIR Dermatol 2021 (Oct 12); 4(2):e31697

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The Classification of Six Common Skin Diseases Based on Xiangya-Derm: Development of a Chinese Database for Artificial Intelligence

Kai Huang, Zixi Jiang, Yixin Li, Zhe Wu, Xian Wu, Wu Zhu, Mingliang Chen, Yu Zhang, Ke Zuo, Yi Li, Nianzhou Yu, Siliang Liu, Xing Huang, Juan Su, Mingzhu Yin, Buyue Qian, Xianggui Wang, Xiang Chen, Shuang Zhao

J Med Internet Res 2021 (Sep 21); 23(9):e26025

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LesionMap: A Method and Tool for the Semantic Annotation of Dermatological Lesions for Documentation and Machine Learning

Bell Raj Eapen, Norm Archer, Kamran Sartipi

JMIR Dermatol 2020 (Apr 20); 3(1):e18149

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