September 2023 in “International journal of medicine” AI is revolutionizing healthcare by improving diagnosis, treatment, and monitoring, but still needs close supervision.
August 2023 AI-assisted surgical robots improve surgery precision and safety.
December 2021 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
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December 2022 in “JAAD international” Patients generally feel positive about alopecia areata treatments, but emotions vary by treatment type.
9 citations
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January 2020 in “IEEE Access” The KEBOT system is a highly accurate AI tool for analyzing hair transplants.
4 citations
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February 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.
May 2021 in “Journal of Investigative Dermatology” An AI photographic device effectively tracked hair growth improvements in women treated for hair loss.
51 citations
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April 2021 in “JAMA network open” The AI tool helped primary care doctors and nurse practitioners diagnose skin conditions more accurately.
May 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.
2 citations
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November 2021 in “Frontiers in Medicine” New skin imaging, teledermatology, and AI could become key in future dermatology care.
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.
November 2023 Kalya Research is an AI tool that effectively finds and analyzes alternative medicine literature, saving researchers time.
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
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February 2023 in “JAMA Dermatology” The AI system HairComb accurately scores hair loss severity, matching dermatologist assessments.
September 2022 in “Research Square (Research Square)” The AI model DIET-AI effectively diagnoses skin diseases as well as doctors.
May 2023 in “Journal of Investigative Dermatology” The AI model somewhat predicts lymph node status in melanoma patients using skin sample images.
88 citations
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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
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February 2021 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
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October 2018 in “Mechanisms of Ageing and Development” Eating less can slow aging and help keep stem cells healthy by cleaning out damaged cell parts.
4 citations
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November 2021 in “Biomedicines” New digital tools are improving the diagnosis and understanding of irreversible hair loss conditions.
1 citations
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January 2023 in “IEEE access” Deep learning helps detect skin conditions and is advancing dermatology diagnosis and treatment.
June 2023 in “IntechOpen eBooks” Drug repurposing speeds up drug development, saves money, and has led to about a third of new drug approvals.
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.
September 2023 in “Membranes” 3D-printed membranes with smart sensors can greatly improve tissue healing and have many medical applications.
158 citations
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January 2015 in “Artificial Intelligence in Medicine” DrugNet effectively identifies new uses for existing drugs and may save resources in drug development.
20 citations
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September 2020 in “International journal of computer applications” The Random Forest algorithm was the most accurate at diagnosing Polycystic Ovarian Syndrome.
May 2021 in “Journal of Investigative Dermatology” Spironolactone safely and effectively treats hair loss in female scarring alopecia patients.
8 citations
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November 2023 in “JMIR dermatology” ChatGPT can be a helpful dermatology resource but should not replace professional consultations.
1 citations
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February 2024 in “npj digital medicine” Researchers improved a skin disease diagnosis model using online images, achieving up to 49.64% accuracy.
1 citations
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January 2024 in “IEEE access” The new method improves facial image restoration quality and face recognition accuracy.