2 citations
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November 2021 in “Frontiers in Medicine” This article describes current advancements and future possibilities in skin imaging technology, teledermatology, and AI in dermatology, without reporting new research results.
1 citations
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December 2024 in “Journal of Cutaneous Medicine and Surgery” This study suggests that while AI shows promise as a diagnostic tool for assessing disease severity in dermatology, understanding its limitations is essential before broad clinical adoption, and it identifies gaps in research that need addressing.
June 2026 in “npj Digital Medicine” This systematic review found that digital health interventions may improve quality of life for dermatology patients, especially through telemedicine, which often matched or exceeded in-person care. However, the evidence is limited by study variability and short follow-up periods.
51 citations
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April 2021 in “JAMA network open” This study found that artificial intelligence assistance improved diagnostic accuracy in dermatologic cases for primary care physicians and nurse practitioners, with higher agreement rates with reference diagnoses observed.
3 citations
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September 2024 in “Journal of the European Academy of Dermatology and Venereology” This article highlights both the opportunities and challenges of using big data in dermatology, noting potential benefits like improved diagnostics and public health monitoring, alongside challenges such as data quality and AI training disparities.
September 2022 in “Research Square (Research Square)” In this study, the DIET-AI model, developed from a large dataset of over 200,000 images, demonstrated diagnostic performance for 31 skin diseases comparable to dermatologists of varying experience levels in 15 hospitals across China, supporting its potential effectiveness in clinical settings.