3 citations
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March 2024 in “arXiv (Cornell University)” This study describes an AI-powered system for diagnosing dermatological conditions, achieving a weighted score of 0.87 in both contextual understanding and diagnostic accuracy, suggesting it could enhance tele-dermatology applications by supporting remote consultations and care access in underserved regions.
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.
40 citations
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August 2021 in “JAAD international” This review found that teledermatology was significantly used during the COVID-19 pandemic, particularly for managing common ambulatory dermatoses like acne and eczema.
28 citations
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February 2014 in “Journal of Telemedicine and Telecare” Smartphone-based teledermatology is effective for diagnosing skin diseases in the military with good accuracy.
24 citations
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August 2019 in “Journal of the American Academy of Dermatology” Teledermatology reduces unnecessary in-person visits and improves care.