December 2022 in “Research Square (Research Square)” The document concludes that an automatic system using deep learning can help diagnose skin disorders, but challenges and opportunities in this area remain.
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January 2020 in “IEEE Access” ScalpEye accurately diagnoses scalp issues like dandruff and hair loss.
September 2023 in “JP Journal of Biostatistics” The random forest model effectively helps diagnose COVID-19 using key factors like age and symptoms.
1 citations
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January 2023 in “IEEE access” Deep learning helps detect skin conditions and is advancing dermatology diagnosis and treatment.
March 2026 in “FMDB Transactions on Sustainable Health Science Letters” A deep learning method can detect nutritional deficiencies from hair and nail images with 89% accuracy.