Image Recognition and AI in Dermatology

Psychological Factors Influencing Appropriate Reliance on AI-enabled Clinical Decision Support Systems: Experimental Web-Based Study Among Dermatologists

Alisa Küper, Georg Christian Lodde, Elisabeth Livingstone, Dirk Schadendorf, Nicole Krämer

J Med Internet Res 2025 (Apr 04); 27:e58660

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Convolutional Neural Network Models for Visual Classification of Pressure Ulcer Stages: Cross-Sectional Study

Changbin Lei, Yan Jiang, Ke Xu, Shanshan Liu, Hua Cao, Cong Wang

JMIR Med Inform 2025 (Mar 25); 13:e62774

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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 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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AI in Psoriatic Disease: Scoping Review

Richard Barlow, Anthony Bewley, Maria Angeliki Gkini

JMIR Dermatol 2024 (Oct 16); 7:e50451

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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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Experiences Regarding Use and Implementation of Artificial Intelligence–Supported Follow-Up of Atypical Moles at a Dermatological Outpatient Clinic: Qualitative Study

Elisabeth Rygvold Haugsten, Tine Vestergaard, Bettina Trettin

JMIR Dermatol 2023 (Jun 23); 6:e44913

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Dynamic Region of Interest Selection in Remote Photoplethysmography: Proof-of-Concept Study

Adam Kiddle, Helen Barham, Simon Wegerif, Connie Petronzio

JMIR Form Res 2023 (Mar 30); 7:e44575

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Assessing the Generalizability of Deep Learning Models Trained on Standardized and Nonstandardized Images and Their Performance Against Teledermatologists: Retrospective Comparative Study

Ayooluwatomiwa I Oloruntoba, Tine Vestergaard, Toan D Nguyen, Zhen Yu, Maithili Sashindranath, Brigid Betz-Stablein, H Peter Soyer, Zongyuan Ge, Victoria Mar

JMIR Dermatol 2022 (Sep 12); 5(3):e35150

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Improving Skin Color Diversity in Cancer Detection: Deep Learning Approach

Eman Rezk, Mohamed Eltorki, Wael El-Dakhakhni

JMIR Dermatol 2022 (Aug 19); 5(3):e39143

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Current Landscape of Generative Adversarial Networks for Facial Deidentification in Dermatology: Systematic Review and Evaluation

Christine Park, Hyeon Ki Jeong, Ricardo Henao, Meenal Kheterpal

JMIR Dermatol 2022 (May 27); 5(2):e35497

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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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