51 citations,
April 2021 in “JAMA network open” The AI tool helped primary care doctors and nurse practitioners diagnose skin conditions more accurately.
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.
2 citations,
November 2021 in “Frontiers in Medicine” New skin imaging, teledermatology, and AI could become key in future dermatology care.
AI can predict hair loss patterns to improve care and treatment.
January 2024 in “Wiadomości Lekarskie” Robotic hair transplantation with AI offers more reliable, precise, and efficient hair restoration.
April 2021 in “Journal of Investigative Dermatology” An AI photographic device effectively tracked hair growth improvements in women treated for hair loss.
September 2023 in “International journal of medicine” AI is revolutionizing healthcare by improving diagnosis, treatment, and monitoring, but still needs close supervision.
AI-assisted surgical robots improve surgery precision and safety.
December 2020 in “Journal of The American Academy of Dermatology” Artificial intelligence can accurately predict hair growth and treatment results in female pattern hair loss patients, with age of onset and duration being key factors.
1 citations,
September 2022 in “JAAD international” Patients generally feel positive about alopecia areata treatments, but emotions vary by treatment type.
9 citations,
January 2020 in “IEEE Access” The KEBOT system is a highly accurate AI tool for analyzing hair transplants.
April 2021 in “The journal of investigative dermatology/Journal of investigative dermatology” Patients using social media have mixed feelings about alopecia treatments, noting hair growth but also frustration with treatment recurrence.
4 citations,
November 2021 in “Biomedicines” New digital tools are improving the diagnosis and understanding of irreversible hair loss conditions.
1 citations,
January 2023 in “IEEE access” Deep learning helps detect skin conditions and is advancing dermatology diagnosis and treatment.
1 citations,
December 2022 in “JAMA Dermatology” The AI system HairComb accurately scores hair loss severity, matching dermatologist assessments.
June 2024 in “Nature Cell and Science” The Scalp Coverage Scoring method reliably measures hair density from images.
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.
June 2023 in “Journal of Cosmetic Dermatology” AI and AR are improving cosmetic dermatology but face challenges like data quality and ethical concerns.
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.
Kalya Research is an AI tool that effectively finds and analyzes alternative medicine literature, saving researchers time.
September 2022 in “Research Square (Research Square)” The AI model DIET-AI effectively diagnoses skin diseases as well as doctors.
April 2023 in “Journal of Investigative Dermatology” The AI model somewhat predicts lymph node status in melanoma patients using skin sample images.
88 citations,
December 2018 in “Advanced Healthcare Materials” Layer-by-Layer self-assembly is promising for biomedical uses like tissue engineering and cell therapy, but challenges remain in material safety and process optimization.
58 citations,
December 2020 in “Mayo Clinic Proceedings” The conclusion is that individual differences in COVID-19 severity are influenced by factors like age, sex, race, and genetics, which are important for personalized medicine.
19 citations,
July 2018 in “Mechanisms of Ageing and Development” Eating less can slow aging and help keep stem cells healthy by cleaning out damaged cell parts.
1 citations,
January 2020 in “Elsevier eBooks” Forensic medicine is crucial for justice and needs continuous innovation and technology integration.
April 2023 in “IntechOpen eBooks” Drug repurposing speeds up drug development, saves money, and has led to about a third of new drug approvals.
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.
August 2024 in “Dermatological Reviews” New technologies are improving the diagnosis and treatment of hair and nail disorders.
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.