2 citations
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April 2025 in “BMC Infectious Diseases” According to this study, nearly one-third of the participants experienced Long COVID, highlighting ongoing concerns about the disease's long-term implications despite the pandemic being under control.
7 citations
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April 2021 in “Journal of The American Academy of Dermatology” This study found that the implementation of the SAVe teledermatology model increased access to dermatologic care during COVID-19, reducing referral wait times significantly compared to in-person visits.
This study developed a convolutional neural network model for non-invasive diagnosis of androgenetic alopecia using dermoscopic images, demonstrating potential accuracy and scalability while highlighting the importance of model interpretability for clinical use.
August 2021 in “Journal of the American Academy of Dermatology” In this study, both physician and patient reports revealed that more severe alopecia areata was associated with higher emotional symptoms and greater activity limitations among patients.
24 citations
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June 2020 in “Journal of the American Academy of Dermatology” This study reported that during the COVID-19 pandemic, online searches for general dermatologic conditions returned to prepandemic levels, while interest in premalignant, cancerous conditions, and cosmetic procedures remained low.
