April 2025 in “Journal of Cosmetic Dermatology” This study evaluated a new AI-linked imaging device for grading dandruff severity, finding high correlation with expert assessments and suggesting its potential application in other skincare areas due to its versatility and ease of use.
This review highlights that recent advancements in diagnostics and therapies, including AI-enhanced imaging, biomarker analysis, and novel treatments like low-dose oral minoxidil and JAK inhibitors, are improving the precision and customization of hair loss management.
74 citations
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January 2020 in “IEEE Access” This study reports that the ScalpEye system accurately diagnosed dandruff, folliculitis, hair loss, and oily hair with a precision range of 97.41% to 99.09%.
September 2023 in “International journal of medicine” This study reviewed the current status and future scope of artificial intelligence in healthcare, highlighting its potential to revolutionize medical practices through improved affordability, efficiency, and speed, as well as its applicability in various fields such as imaging, diagnosis, and individualized care.
19 citations
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October 2024 in “BMC Medical Informatics and Decision Making” This study used machine learning models to analyze PCOS symptoms for early diagnosis, finding Support Vector Machine and VGG16 algorithms achieved high accuracy rates of 94.44% and 98.29% respectively.
November 2025 in “Scientific Reports” This study demonstrates that an AI-based grading framework using a novel area ratio metric improves the accuracy and consistency of male pattern hair loss classification, especially in advanced grades, compared to traditional methods.
January 2024 in “International Journal of Advanced Computer Science and Applications” This review reports that while deep learning shows promise in diagnosing scalp disorders from images, challenges remain with data quality and model interpretability, suggesting that integrating explainable AI techniques is crucial for building trust and facilitating clinical adoption.
July 2022 in “Bőrgyógyászati és Venerológiai Szemle” This review discusses recent advancements in mobile technology and artificial intelligence for dermatology, offering an overview of their current applications but reports no new clinical findings.
January 2025 in “Bright Sky Publications eBooks” This abstract presents the book "Buy Medical Physics in Aesthetic Medicine," which explores future innovations and techniques for cosmetic procedures expected in 2025, though specific findings or results from the book are not reported.
April 2026 in “Cosmetics” In this randomized, double-blind, placebo-controlled trial, researchers found that a multi-targeted cosmetic formulation containing TrinogeniX™ significantly increased hair density and thickness in individuals with androgenetic alopecia without adverse effects, suggesting it as a potential safe and effective treatment option.
January 2024 in “Clinical, cosmetic and investigational dermatology” This review suggests that dermatological cosmetic procedures can be safely performed on dark-complexioned skin with appropriate treatment adjustments, highlighting the need for careful consideration to prevent adverse effects.
January 2024 in “Wiadomości Lekarskie” This source provides an overview of diagnostic and treatment innovations for gastrointestinal disorders, such as wireless capsule technology for motility assessment and new methods for treating constipation and nausea, highlighting both current and emerging techniques.
January 2026 in “Nature Communications” This study presented a new wearable textile-based device with near-infrared OLEDs that significantly reduced cell aging markers and improved cell migration in vitro, suggesting it as a promising, non-invasive phototherapy option for hair follicle treatment and hair-loss management.
22 citations
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March 2021 in “Journal of Cutaneous Medicine and Surgery” This review discusses the integration of ultrasound in dermatology for improved lesion visualization and diagnosis, highlighting recent technological advancements like handheld devices and high-frequency probes, and reports no clinical results.
2 citations
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November 2021 in “Frontiers in Medicine” This article describes current advancements and future possibilities in skin imaging technology, teledermatology, and AI in dermatology, without reporting new research results.
9 citations
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February 2024 in “Indian Dermatology Online Journal” This study discusses the potential of advanced imaging technologies in dermatology to improve diagnostic accuracy and reduce the need for invasive procedures like biopsies, while noting significant barriers in adoption and accessibility in India due to costs and infrastructure constraints.
July 2026 in “Diagnostics” This review outlines the key principles and clinical applications of multimodal non-invasive skin imaging technologies, emphasizing their combined strengths in enhancing diagnosis and treatment assessment in dermatology.
February 2026 in “Dermatology and Therapy” This narrative review found that while AI-based tools in dermatology, particularly for hair disorder assessment, have potential to enhance clinical practice by improving objectivity and personalization, they currently serve mainly a complementary role and face challenges like methodological limitations and data bias.
51 citations
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April 2021 in “JAMA network open” This study found that artificial intelligence assistance improved diagnostic accuracy in dermatologic cases for primary care physicians and nurse practitioners, with higher agreement rates with reference diagnoses observed.
1 citations
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September 2025 in “Journal of Ultrasound in Medicine” This study found that AI using YOLOv11 architecture can reliably differentiate between hyaluronic acid and silicone oil cosmetic fillers on ultrasound, achieving high accuracy, whereas identifying calcium hydroxyapatite and polymethylmethacrylate remains less consistent, requiring further improvements.
1 citations
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January 2026 in “Frontiers in Cell and Developmental Biology” This study reviews the transformative role of artificial intelligence in biomaterial design, highlighting its ability to reduce costs through virtual screening, enhance material performance, and predict biological interactions to advance personalized and precision medicine.
4 citations
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January 2021 in “Dermatologic Therapy” This review highlights current and future AI applications in hair restoration and diagnosis of hair disorders, including automated systems for hair detection and self-diagnosis, emphasizing the need for experts to understand their benefits and limitations.
April 2026 in “Biomolecules” This review highlights recent advancements in molecular understanding and treatment approaches for PCOS, including innovative drug delivery systems and AI-driven precision medicine, but provides no new clinical results.
April 2024 in “International journal of molecular sciences” This source reports that for treating keloids and hypertrophic scars, combination pharmacotherapy targeting multiple sites is generally more effective than using a single drug, though outcomes of individual therapies vary and the development of satisfying treatments is ongoing.
4 citations
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January 2024 in “Therapeutic Advances in Reproductive Health” This study found significant correlations between old and new ultrasound devices for measuring NF and ovarian volume, being the first on the African continent to reassess ultrasound criteria for PCOS.
1 citations
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January 2025 in “IntechOpen eBooks” This source outlines the development of a comprehensive system for evaluating the safety and efficacy of cosmetics in China compared to established practices in Europe and the U.S., highlighting factors like AI technologies and specific product categories such as anti-aging and sun protection.
December 2025 in “IP Indian Journal of Clinical and Experimental Dermatology” This review reports that the treatment of androgenetic alopecia is shifting from single therapies to personalized, multimodal approaches incorporating both traditional and emerging pharmacologics, regenerative strategies, nutraceuticals, cosmeceuticals, and device-based interventions, with combination regimens showing improved outcomes.
June 2025 in “Journal of Cosmetic Dermatology” This study reviews AI's role in aesthetic medicine, noting it enhances diagnostic accuracy and personalized treatment planning, but faces challenges like ethical concerns, algorithmic biases, and regulatory issues that need addressing for successful integration.
17 citations
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December 2022 in “Biosensors” This review discusses recent advancements in triboelectric nanogenerator-based electronics for clinical applications and reports no new experimental results, focusing on customization for chronic disease diagnosis and long-term treatment.
This review explores the skin benefits of exercise and discusses how artificial intelligence can tailor exercise programs to individual skin health needs, emphasizing the potential of AI-driven strategies in cosmetic dermatology for more personalized and adaptive skincare approaches.