Image Recognition and AI in Dermatology

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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