3 citations
,
August 2024 in “Cureus” This study found that DALL-E 2 performed poorly in generating accurate images of most pediatric dermatological conditions, highlighting the need for more domain-specific and inclusive training data.
1 citations
,
May 2026 in “Signal Transduction and Targeted Therapy” This review highlights the promising role of stem cell therapy in treating resistant diseases, while also addressing the challenges in production and clinical application, emphasizing the need for standardized manufacturing and quality assurance to enhance efficacy and safety in clinical translational research.
1 citations
,
July 2020 in “Dermatology” This review discusses the mechanisms, applications, and research evidence of photobiomodulation, highlighting its efficacy, safety, and potential for standardized evaluation methods, but reports no new clinical results.
February 2026 in “Frontiers in Public Health” This study identified that while the overall burden of AA among adolescents and young adults globally continues to rise, the age-standardized rates have slightly decreased, with notable disparities across age, gender, region, and socioeconomic status.
This review reports that empirical evidence suggests an overlap between Long Covid, chronic fatigue syndrome, and fibromyalgia, highlighting the need for standardized definitions and rigorous methodologies in related research.
October 2023 in “Clinical and experimental dermatology and therapies” In this study, researchers examined the backgrounds of 243 cosmetic surgeons in Japan and found that while medical history and surgical experience influenced training duration slightly, consistent skills could be acquired within a few months after joining their group.
106 citations
,
June 2005 in “Journal of Investigative Dermatology” This study defines classification criteria for hair follicle dystrophy using a mouse model of chemotherapy-induced alopecia, providing tools for standardized hair damage assessment.
57 citations
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May 2016 in “Journal of Dermatological Treatment” This analysis suggests that platelet-rich plasma therapy may be promising for treating androgenetic alopecia, but further controlled trials with standardized measures are needed to confirm its efficacy.
February 2025 in “Cureus” This study focused on developing and validating standardized methods to reliably assess hair growth and scalp health in androgenetic alopecia, finding significant differences in hair parameters such as vellus and terminal hair counts, density, and thickness between affected and standardized areas.
October 2025 in “Infection Control and Hospital Epidemiology” This article discusses developing a standardized operating procedure for PRP administration to align with infection prevention regulatory standards and reports no new clinical results.
6 citations
,
February 2015 in “Dermatologic Surgery” This abstract lists affiliations and states no financial interests but provides no research findings to summarize.
March 2026 in “Annals of Medicine” This study highlights the importance of developing standardized diagnostic tools, outcome measures, and evidence-based interventions to improve care and long-term outcomes for children and adolescents affected by long COVID-19.
November 2025 in “Photochemistry and Photobiology” This review article identifies a need for standardized guidelines in using photobiomodulation therapy for spinal cord injury repair, emphasizing that current inconsistencies in therapy parameters may hinder optimal outcomes and limit clinical trials.
1 citations
,
December 2024 in “European Archives of Medical Research” This review highlights that PRP shows promise as an effective and safe treatment for knee osteoarthritis, particularly in mild-to-moderate stages, but underscores the need for standardized protocols and further research.
33 citations
,
September 1998 in “Dermatologic Surgery” This article proposes a classification for small graft transplants that includes technical factors to improve communication and facilitate comparative studies, reporting no new clinical results.
5 citations
,
July 2025 in “Journal of Clinical Medicine” This study reviewed existing literature on mesotherapy and developed evidence-based guidelines, which support its standardized and safe use for osteoarticular pain, rehabilitation, and dermatology, marking a shift from practice based on personal beliefs to an evidence-based approach.
4 citations
,
July 2024 in “Radiotherapy and Oncology” This study highlights that variations in clinical outcome reporting can undermine the validation of NTCP models for RIA, stressing the need for a standardized and objective scoring system.
October 2020 in “International Journal of Research in Dermatology” This review discusses the possible immune-mediated and environmental factors contributing to frontal fibrosing alopecia but reports no new clinical findings, emphasizing the need for standardized treatment evaluations.
5 citations
,
June 2024 in “Cureus” In a study involving adults with mild to moderate dandruff, researchers observed that post-hair wash interventions significantly reduced dandruff as measured by three assessment methods, showing substantial reliability and correlation, which supports their use in clinical settings for evaluating scalp dandruff treatments.
76 citations
,
May 2020 in “Ultraschall in der Medizin - European Journal of Ultrasound” This consensus document provides foundational position statements for dermatologic ultrasound but reports no clinical results; it aims to guide future evidence-based recommendations and guidelines.
26 citations
,
January 2025 in “iScience” This article reviews the potential applications, benefits, and limitations of platelet-rich plasma in medical practice and reports no new clinical results, emphasizing the need for standardized preparation and treatment protocols.
25 citations
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March 2017 in “Journal of Dermatological Treatment” This review found that the current evidence on using platelet rich plasma to treat non-cicatricial alopecia, such as androgenetic alopecia and alopecia areata, is of low quality and yields controversial results.
11 citations
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June 2017 in “Anais Brasileiros de Dermatologia” This study observed changes in dermatological disease incidence in a Brazilian town, with increases in conditions like sexually transmitted diseases and leprosy and decreases in others such as urticaria and superficial mycoses between 2003 and 2014.
3 citations
,
January 2024 in “Annals of Dermatology” This study established consensus criteria for classifying alopecia areata severity, aiding clinicians in accurate diagnosis and treatment planning.
1 citations
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February 2024 in “npj digital medicine” This study developed a deep-learning model using unannotated dermatology images from online forums, achieving 49.64% accuracy in classifying 22 skin diseases and 61.76% accuracy in detecting monkeypox, highlighting the potential of these images for skin disease diagnostics in China.
1 citations
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December 2022 in “JAMA Dermatology” This study found that the HairComb algorithm achieved high accuracy in quantifying percentage hair loss across various types of alopecia, suggesting its potential for standardized automated assessments.
July 2026 in “Pharmaceuticals” This review highlights significant research trends and challenges in utilizing plant-derived extracellular vesicles for drug delivery and biomedical applications, emphasizing the need for standardized protocols and advanced purification technologies.
February 2026 in “Frontiers in Medicine” This review discusses strategies to identify, prevent, and manage complications in FUE and reports no new clinical results.
January 2026 in “British Journal of Health Psychology” This review highlights the significant impact of alopecia on personal identity and social interactions, emphasizing the need for personalized, non-pharmacological interventions and improved collaboration in healthcare training to better support those with appearance-altering conditions.
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.