Deep learning can improve non-invasive alopecia diagnosis using hair images.
2 citations,
November 2021 in “Frontiers in Medicine” New skin imaging, teledermatology, and AI could become key in future dermatology care.
1 citations,
January 2023 in “IEEE access” Deep learning helps detect skin conditions and is advancing dermatology diagnosis and treatment.
June 2023 in “Journal of Cosmetic Dermatology” AI and AR are improving cosmetic dermatology but face challenges like data quality and ethical concerns.
1 citations,
March 2024 in “Skin research and technology” A new AI model diagnoses hair and scalp disorders with 92% accuracy, better than previous models.
September 2023 in “International journal of medicine” AI is revolutionizing healthcare by improving diagnosis, treatment, and monitoring, but still needs close supervision.
August 2024 in “Indian Journal of Skin Allergy” Stem-cell therapy shows promise for skin conditions but needs more research.
February 2025 in “Healthcare” Caffeine may help with hair loss, but more research is needed.
June 2023 in “International journal on recent and innovation trends in computing and communication” Combining multiple algorithms predicts hair fall more accurately than using single algorithms.
Regenerative cosmetics can improve skin and hair by reducing wrinkles, healing wounds, and promoting hair growth.
March 2024 in “Current issues in molecular biology” Personalized medicine in dermatology uses molecular biomarkers to improve diagnosis and treatment but needs further advancements for practical use.
8 citations,
May 2024 in “Diagnostics” AI chatbots can help teach dermatology but need careful checking for accuracy.
29 citations,
December 2019 in “Transfusion and Apheresis Science” Platelet-derived bio-products help in wound healing and tissue regeneration but lack standardized methods, and their use in medicine is growing.
1 citations,
February 2024 in “npj digital medicine” Researchers improved a skin disease diagnosis model using online images, achieving up to 49.64% accuracy.
51 citations,
April 2021 in “JAMA network open” The AI tool helped primary care doctors and nurse practitioners diagnose skin conditions more accurately.
3 citations,
July 2023 in “Nature Communications” The ShorT method can detect and help reduce bias in medical AI by identifying shortcut learning.
January 2025 in “Frontiers in Medicine” Hair follicles are key to treating vitiligo and alopecia areata, but challenges exist.
October 2024 in “Journal of Cosmetic Dermatology” The metaverse offers potential for managing hair and nail disorders but faces challenges like technology limits and accessibility.
16 citations,
May 2019 in “International Journal of Women's Dermatology” The new FDA labeling rules provide more detailed drug safety information for pregnant and breastfeeding women, but more data is needed on the risks of many dermatologic drugs.
August 2023 in “Clinical, Cosmetic and Investigational Dermatology” Research on the human skin microbiome has grown, focusing on skin health and diseases, with more studies needed on antibiotic resistance and AI applications.
99 citations,
December 2010 in “Journal of The European Academy of Dermatology and Venereology” The document concludes that certain genetic mutations and dietary factors are involved in acne development, and treatments like isotretinoin and diet changes can help manage it.
April 2023 in “Journal of Investigative Dermatology” The MDhair app accurately assesses hair loss severity with 94% accuracy.
4 citations,
January 2021 in “Dermatologic Therapy” AI is effective in diagnosing and treating hair disorders, including detecting hair loss and scalp conditions with high accuracy, but it should supplement, not replace, doctor-patient interactions.
1 citations,
December 2022 in “JAMA Dermatology” The AI system HairComb accurately scores hair loss severity, matching dermatologist assessments.
September 2020 in “British Journal of Dermatology” The document highlights advancements and findings in dermatology, including AI use, disease prevention, treatment efficacy, and the impact of conditions on patients' lives.
20 citations,
September 2005 in “Clinics in Dermatology” Some skin problems can be signs of diabetes or other metabolic diseases and recognizing them can help diagnose and treat these diseases early.
35 citations,
August 2001 in “Journal of Cutaneous Medicine and Surgery” Tacrolimus is effective for various skin conditions with fewer side effects than cyclosporine.
4 citations,
July 2001 in “Journal of Cutaneous Medicine and Surgery” Tacrolimus is an effective treatment for several skin conditions with fewer side effects than cyclosporine.
March 2024 in “Indian Journal of Dermatology/Indian journal of dermatology” Using animal names for skin conditions helps with learning and memory.
23 citations,
March 2001 in “Clinics in dermatology” Alopecia areata involves immune response and gene changes affecting hair loss.