Progress and challenges of artificial intelligence in skin of color
Author:
Affiliation:
1. Department of Dermatology Yale University School of Medicine New Haven USA
Publisher
Wiley
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1111/ijd.17071
Reference5 articles.
1. Leveraging Machine Learning for Accurate Detection and Diagnosis of Melanoma and Nevi: An Interdisciplinary Study in Dermatology
2. Artificial intelligence in dermatology: advancements and challenges in skin of color;Fliorent R;Int J Dermatol,2024
3. Artificial Intelligence for the Classification of Pigmented Skin Lesions in Populations with Skin of Color: A Systematic Review
4. Skin tone representation in dermatologic direct-to-consumer advertisements: a cross-sectional analysis and call to action
5. Effect of a clinical evidence technology on patient skin disease outcomes in primary care: a cluster-randomized controlled trial
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1. Advancements in Cosmetics and Aesthetics: A Comprehensive Review;Dermatological Reviews;2024-07-19
2. Artificial intelligence in addressing rare skin disorders;International Journal of Dermatology;2024-07-11
3. Professional standards and regulations for the use of artificial intelligence in dermatology;International Journal of Dermatology;2024-05-10
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