Image Recognition and AI in Dermatology

Articles published in this theme: 22 (scroll down to load remaining articles)

2026

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Capturing Optimal Mobile 2D Facial Images in Remote Aesthetics Medicine Clinical Trials: Technical Considerations for Facial Severity Analysis

Damon Caiazza, Scott Kreutzkamp

JMIR Form Res 2026 (Jan 28); 10:e64764

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2025

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Image Generation of Common Dermatological Diagnoses by Artificial Intelligence: Evaluation Study of the Potential for Education and Training Purposes

Sarah Kooper-Johnson, Subin Lim, Jumana Aldhalaan, Gabriela Cobos, Vijay Kodumudi, Daniel S Loo, Joshua Mervis, Madalyn Petrillo, Sarah N Robinson, Bichchau Michelle Nguyen

JMIR Dermatol 2025 (Dec 16); 8:e72371

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Deep Learning Algorithms in the Diagnosis of Basal Cell Carcinoma Using Dermatoscopy: Systematic Review and Meta-Analysis

Huasheng Liu, Guangqian Shang, Qianqian Shan

J Med Internet Res 2025 (Oct 03); 27:e73541

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Potential of the World Health Organization’s Skin NTDs App to Support and Improve the Detection of Skin-Related Neglected Tropical Diseases: Protocol for a Performance Evaluation and Feasibility Study in Senegal

Dior Sall, Dominik Jockers, Pauline Dioussé, Jonas Wachinger, Gilbert Batista, Jose Antonio Ruiz Postigo, Laurene Petitfour, Charlotte Robert, Bachir Mansour Diallo, Fulgence Abdou Faye, Yacine Dieng, Maresa Neuerer, Agbogbenkou Tevi Dela-Dem Lawson, Felicitas Schwermann, Carme Carrion, Louis Hyacinthe Zoubi, Papa Mamadou Diagne, Christa Kasang, Fatou Ndiaye Oumar Sy, Mahamath Cisse, Till Bärnighausen, Madoky Diop

JMIR Res Protoc 2025 (Sep 19); 14:e69420

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Investigating Learning Effects Through the Implementation of Teledermatology Consultations Among General Practitioners in Germany: Mixed Methods Process Evaluation

Andreas Polanc, Inka Roesel, Elke Feil, Peter Martus, Stefanie Joos, Roland Koch

JMIR Med Educ 2025 (Sep 10); 11:e65915

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Deep Learning Multi-Modal Melanoma Detection: Algorithm Development and Validation

Nithika Vivek, Karthik Ramesh

JMIR AI 2025 (Aug 13); 4:e66561

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Artificial Intelligence in Patch Testing: Comprehensive Review of Current Applications and Future Prospects in Dermatology

Hilary S Tang, Joseph Ebriani, Matthew J Yan, Shannon Wongvibulsin, Mehdi Farshchian

JMIR Dermatol 2025 (Jun 02); 8:e67154

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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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2024

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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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2023

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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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2022

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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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2021

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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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