This review discusses the potential conflicts of interest and quality concerns associated with direct-to-consumer teledermatology platforms and reports no new experimental results.
June 2025 in “International Journal of Computational Intelligence Systems” This study introduces a novel computational model using fuzzy logic and multi-criteria decision-making techniques to create a triage system for androgenetic alopecia management, stratifying patients into seven severity levels and aiding in resource allocation and treatment planning.
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April 2023 in “Archives of Dermatological Research” This study proposes a grading system based on comorbidities and systemic involvement to assess the severity of dermatological emergencies.
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April 2017 in “Journal of Investigative Dermatology” This study found that teledermatology significantly reduced wait times and increased appointment availability for uninsured Latino immigrants, effectively triaging 70% of cases without in-person visits.
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July 2017 in “Frontiers in Communication” This study found that the urgency of self-triage decisions can be influenced by whether a disorder is presented using newer medical terminology rather than lay terms.
