January 2026 in “JAMA Dermatology” This systematic review identified and evaluated the most accurate ICD code classification methods for dermatologic conditions in US-based datasets, highlighting both high-performing algorithms and areas lacking validation, thereby informing future research and dataset use.
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August 2020 in “Open Access Macedonian Journal of Medical Sciences” This review summarizes current knowledge on cutaneous symptoms in COVID-19, emphasizing their potential prognostic and therapeutic implications, but reports no new clinical findings.
December 2022 in “Research Square (Research Square)” This study discusses the development of deep learning models for diagnosing skin disorders and notes challenges such as lack of data for darker skin tones, without providing new clinical results.
EfficientNet improves accuracy in diagnosing hair loss stages.
This study suggests that the EULAR/ACR classification criteria for SLE may help predict organ damage, particularly in renal, cardiovascular, dermatological, and gonadal domains.
