3 citations
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August 2024 in “Applied Sciences” In this study, researchers developed a machine learning model that accurately diagnosed scalp conditions like fine dandruff and perifollicular erythema with 75% and 82% accuracy, respectively, and created a user-friendly web platform for scalp health self-assessment, which achieved high user satisfaction.
1 citations
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March 2024 in “Skin research and technology” In this study, a modified Xception deep learning model achieved a 92% accuracy rate in diagnosing hair and scalp disorders, significantly outperforming other models, suggesting AI could improve dermatological diagnostics' accuracy and accessibility.
21 citations
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September 2011 in “PubMed” This article reviews prominent variants of scalp hair folliculitis and their differential diagnosis, but reports no new clinical findings.
This study highlights the complexity of diagnosing scalp fungal infections, emphasizing how clinical evaluation, trichoscopy, and cultural samples are essential in distinguishing tinea capitis from similar conditions like piedra, seborrheic dermatitis, and psoriasis, due to overlapping symptoms like scaling and hair changes.
November 2015 in “Pediatrics in review” This case report describes a 15-year-old boy who experienced severe allergic contact dermatitis from hair dye, highlighting the importance of identifying allergens through patch testing.
1 citations
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August 2025 in “Medicina” This review discusses the evolution and potential of non-invasive imaging techniques for diagnosing scalp diseases, highlighting their advantages and limitations compared to trichoscopy and scalp biopsy, the current diagnostic standards.
309 citations
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May 1993 in “Journal of The American Academy of Dermatology” This study concluded that horizontal sections of scalp biopsy specimens provide more diagnostic information for male pattern androgenetic alopecia than vertical sections and can predict hair regrowth potential following topical minoxidil therapy.
January 2024 in “Journal of the American Academy of Dermatology” Biopsies matched initial diagnoses in 76.6% of black women with alopecia and led to treatment changes in 44% of cases.
5 citations
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November 2017 in “Dermatologica Sinica” In this study, transverse sectioning of scalp biopsy samples showed higher diagnostic accuracy than vertical sectioning for noncicatricial alopecia, although both techniques are important for accurate diagnosis.
3 citations
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October 2021 in “Clinical, Cosmetic and Investigational Dermatology” This review discusses the epidemiology, risk factors, clinical features, and management of scalp melanomas, highlighting their high mortality rates and specific challenges in diagnosis and treatment; it reports no new research findings.
1 citations
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August 2023 in “arXiv (Cornell University)” This study reports that deep learning models, particularly CNN and FCN, achieved high accuracy in diagnosing scalp and skin disorders, suggesting potential for improved diagnostic systems with further advancements.
January 2026 in “Skin Appendage Disorders” This study concluded that including intermediate hairs or using relative shaft diameter methods can significantly improve the sensitivity of trichograms in diagnosing female androgenetic alopecia, aligning better with histopathology results.
June 2025 in “British Journal of Dermatology” This systematic review reports that trichoscopy is highly accurate for diagnosing scalp disorders, suggesting it as a valuable alternative to biopsies and supporting recommendations for its integration into routine dermatology practice.
14 citations
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September 2016 in “Journal of Cutaneous Pathology” This review discusses the classification and diagnosis of primary scalp alopecia, focusing on scarring and non-scarring types, and reports no new clinical results; it emphasizes simplified diagnostic pathways and tissue processing techniques.
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.
2 citations
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January 2023 in “Journal of The American Academy of Dermatology” This study investigated the use of scalp biopsies for diagnosing and managing alopecia in Black women, focusing on distribution, prevalence, and biopsy outcomes, but did not report new clinical results.
61 citations
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October 2005 in “The journal of investigative dermatology. Symposium proceedings/The Journal of investigative dermatology symposium proceedings” This review discusses scalp skin disorders, their overlapping symptoms, diagnostic techniques, and treatment strategies, emphasizing the importance of accurate differential diagnosis, but reports no new clinical results.
7 citations
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January 2009 in “International Journal of Trichology” In this study, researchers found that dermoscopy does not provide distinguishing features for diagnosing scalp contact dermatitis from topical minoxidil compared to other causes of severe scalp itching.
2 citations
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February 2021 in “The Journal of clinical and aesthetic dermatology” This review examines the various potential causes of bitemporal hair loss, emphasizing the importance of prompt diagnosis to prevent further hair loss in scarring conditions; it reports no new clinical results.
2 citations
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July 2013 in “InTech eBooks” This article reviews the differences between scarring and non-scarring alopecias and describes diagnostic methods but reports no new clinical findings.
1 citations
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November 2024 in “Archives of Dermatological Research” The authors discuss that hair loss affecting the occipital scalp is understudied and may be caused by factors like movement irritation and clothing occlusion; this lack of data can lead to missed diagnoses and inadequate treatment.
September 2026 in “Clinical Cosmetic and Investigational Dermatology” This case report highlights the diagnostic challenges in a patient with atypical lupus erythematosus tumidus due to long-term misdiagnosis and conflicting pathological findings, with effective treatment achieved using hydroxychloroquine and methylprednisolone.
July 2024 in “International Journal of Dermatology Venereology and Leprosy Sciences” This review highlights the increasing use of trichoscopy, a noninvasive and well-tolerated diagnostic tool, to aid in the accurate diagnosis and management of various pediatric hair and scalp conditions, such as alopecia and other abnormalities.
July 2021 in “Indian journal of dermatopathology and diagnostic dermatology” In this study, researchers documented several trichoscopic features that were statistically significant indicators of alopecia and scalp disorders compared to healthy controls.
37 citations
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May 2016 in “Deutsches Arzteblatt International” This review outlines various causes and manifestations of hair loss, highlighting that each type has distinct underlying mechanisms and requires specific treatment approaches, without reporting new clinical results.
This study aims to develop an automatic machine learning-based method using the VGG-19 model to accurately classify various hair and scalp diseases.
December 2019 in “Дерматологія та венерологія” Trichoscopy is a useful tool for diagnosing hair and scalp disorders.
150 citations
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April 2008 in “Journal of The American Academy of Dermatology” This study found that videodermoscopy reveals distinct dermoscopic features in patients with alopecia areata incognita, aiding in biopsy decisions by identifying the appropriate sampling area and potentially avoiding unnecessary procedures.
33 citations
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February 2011 in “International Journal of Dermatology” This study observed that orange spots and dystrophic hairs on trichoscopy may aid in diagnosing scalp sarcoidosis.
23 citations
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November 2014 in “Anais Brasileiros de Dermatologia” This study suggests that trichoscopy may assist in diagnosing pemphigus, particularly for scalp-specific lesions, by identifying certain characteristic features.