January 2026 in “China CDC Weekly” This study explored using large language models to automatically identify monkeypox cases from electronic medical records, finding that models based on DeepSeek features performed better than traditional methods, with logistic regression showing high accuracy in detecting key symptoms like fever and rash.
1 citations
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September 2024 in “Journal of the American Academy of Dermatology” Physician responses are better than ChatGPT for dermatology questions.
September 2022 in “Research Square (Research Square)” In this study, the DIET-AI model, developed from a large dataset of over 200,000 images, demonstrated diagnostic performance for 31 skin diseases comparable to dermatologists of varying experience levels in 15 hospitals across China, supporting its potential effectiveness in clinical settings.
7 citations
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November 2006 in “Journal of immunological methods” This study found that the novel dot-block method can effectively measure early- and advanced-glycation products in hair, suggesting its potential for monitoring diabetes progression and other chronic conditions.
2 citations
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January 2018 in “Annals of Dermatology” This review discusses the potential association between androgenetic alopecia and metabolic syndrome, and notes AGA might be linked to arterial stiffness; it reports no new clinical findings and calls for further research.