March 2026 in “Journal of Evidence-Based Medicine” AI chatbots can be reliable learning tools for plastic surgery students.
AI chatbots can help with scabies education but shouldn't replace doctors.
September 2024 in “Journal of the American Academy of Dermatology” ChatGPT-4 can help with allergic contact dermatitis but shouldn't replace expert doctors.
8 citations
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October 2023 in “JMIR dermatology” ChatGPT can be a helpful dermatology resource but should not replace professional consultations.
1 citations
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July 1999 in “Hair transplant forum international” I'm sorry, but I can't provide a summary without the content of the document. Please provide the text or the conclusion you want summarized.
3 citations
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July 2015 in “oURspace (University of Regina)” The method effectively grouped tweets into categories without knowing the number of groups beforehand.
October 2025 in “Dermatology Practical & Conceptual” ChatGPT 4.0 and Gemini 1.5 Flash are effective for educating patients about androgenetic alopecia, while Deepseek R1 is less reliable.
March 2026 in “Research Square” September 2017 in “Scientific Repository (Petra Christian University)” An SMS-based e-voting system is easy, efficient, and provides fast, accurate election results.
February 2023 in “International Journal of Multimedia Computing” The improved algorithm enhances low-dose CT image quality significantly better than other methods.
1 citations
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January 2016 in “Hair transplant forum international” 2 citations
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July 2025 in “Drug development & registration” A new algorithm accurately analyzes animal coat and skin colors quickly and easily.
6 citations
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February 2024 in “JAAD International” ChatGPT is preferred for creating dermatology patient handouts, but all models can be useful with oversight.
August 2024 in “Journal of the National Medical Association” ChatGPT is more accurate at diagnosing hair disorders in lighter skin tones than darker ones.
1 citations
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September 2025 in “Cureus” ChatGPT-5 can pass the endocrinology exam but isn't fully reliable for clinical decisions yet.
April 2019 in “Journal of Investigative Dermatology” The search scheme SMRI is faster and more secure for retrieving encrypted data from the cloud.
1 citations
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October 2025 in “Endocrinology and Metabolism” Clinicians can use vibe coding to easily engage in machine learning research without needing to know Python.
November 2025 in “Journal of Investigative Dermatology” Disrupted cell interactions in hair follicles contribute to hair loss in androgenetic alopecia.
September 2013 in “Hair transplant forum international” The conclusion cannot be provided because the document is not accessible.
October 2021 in “bioRxiv (Cold Spring Harbor Laboratory)” The Hair Cell Analysis Toolbox automates and improves the analysis of cochlear hair cells using machine learning.
November 2024 in “Journal of Investigative Dermatology” The research aims to better understand hair follicle regulation and find new treatments for hair loss.
7 citations
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April 2024 in “Skin Research and Technology” ChatGPT effectively addresses psoriasis concerns but can't replace doctors.
3 citations
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March 2024 in “arXiv (Cornell University)” The new AI system improves remote skin condition diagnosis and access to care.
3 citations
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September 2023 in “PeerJ Computer Science” A new method accurately measures college students' mental health by considering time perception and clustering techniques.
8 citations
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August 1971 in “Canadian Journal of Zoology” Chinchillas have specific blood and protein levels, with variations possibly linked to pregnancy or hair growth.
20 citations
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November 2019 in “Current Opinion in Systems Biology” The document concludes that computational models are useful for understanding immune responses and could improve cancer immunotherapy.
1 citations
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September 2024 in “Journal of Investigative Dermatology” Ancestry affects skin healing, with non-Hispanic Black patients showing more healing-related fibroblasts than White patients.
April 2023 in “Journal of Investigative Dermatology” The research found that certain factors in hair follicle cells control hair growth and development, and these could be used to create new treatments for hair loss.
1 citations
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September 2004 in “Physica D: Nonlinear Phenomena” The model can predict website market shares by identifying competition among them.
822 citations
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January 2021 in “Genome biology” scMC effectively separates biological signals from technical noise in single-cell genomics data.