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This study found that GoogLeNet outperformed other CNN models in accurately identifying the type of folliculitis.

This case report describes a 16-year-old with ectrodactyly-ED-clefting syndrome, where scarring alopecia with follicular involvement appeared during puberty, possibly due to anatomic hair abnormalities.

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%.

This study developed a high-performance deep learning model using the Inception-ResNet v2 architecture to classify 10 hair disease classes, achieving an accuracy of 94.7% and balanced precision, recall, and F1-scores of 0.94, suggesting reliability for automated dermatology diagnostics.

In this study, researchers developed a hybrid deep learning model called ScalpViT that accurately diagnosed scalp diseases with 94.3% accuracy, surpassing existing methods like ResNet-50 and EfficientNet-B3, and providing visual explainability for clinicians using GradCAM and Attention Rollout techniques.

This study introduces ScalpViT, a new deep learning model that accurately diagnoses visually similar scalp diseases with 94.3% accuracy, outperforming other methods like ResNet-50 and EfficientNet-B3, and providing dual visual explainability through GradCAM and Attention Rollout, potentially benefiting diagnosis in resource-limited settings in India.

In this study, researchers developed ScalpViT, a novel deep learning model, to improve the automated diagnosis of visually similar scalp diseases, achieving 94.3% accuracy and outperforming existing models like ResNet-50 and EfficientNet-B3 when tested on a diverse dataset of 7,000 images.

This article reviews acne keloidalis in young black men, describes its clinical and histopathological characteristics, and highlights surgical therapy approaches despite the uncertain etiology of the condition.

This study used a deep learning approach that successfully predicts alopecia, psoriasis, and folliculitis with a 2D convolutional neural network, achieving a training accuracy of 96.2% and validation accuracy of 91.1%.

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.

This study explored deep learning's potential in diagnosing scalp conditions like alopecia, psoriasis, and folliculitis, using a two-dimensional Convolutional Neural Network, achieving high accuracy and precision despite challenges of a small and uneven dataset.

In this study, a deep learning model using an optimized VGG19 architecture achieved a high classification accuracy of 98.64% for detecting ten hair disease classes from a balanced dataset, indicating its potential for reliable use in mobile diagnostics for clinical and remote applications.

This study found that a deep learning approach successfully predicted three types of hair and scalp diseases with high accuracy, despite challenges in dataset availability and image variety.

This study introduced a deep learning framework combining multiple convolutional neural networks to detect scalp and hair disorders and classify hair fall stages, reporting higher precision and robustness in detection and classification compared to individual CNN models.

This case report describes a patient with folliculitis decalvans who successfully responded to photodynamic therapy.

This study found that antifungal therapy significantly reduced pustules in patients with refractory acne, indicating a potential role for Malassezia infection in such cases.

This case report describes a 2-year-old girl with Majocchi granuloma, a deep granulomatous folliculitis, which improved after treatment with oral terbinafine despite relapses leading to multiple treatment courses.

In this case report, the researchers highlighted the diagnostic challenge of Majocchi’s granuloma, a deep fungal infection that mimics other skin conditions and resists initial treatment, emphasizing the importance of considering it as a diagnosis even after failed topical antifungal therapies.

In this case report, a persistent skin infection in a Bullykutta dog was resolved with a 10-day treatment regimen of Sulphamethoxazole, trimethoprim, omega fatty acids, and topical therapy after previous treatments failed.

This paper presents a new method using Convolutional Neural Networks for detecting hair and scalp diseases, aiming to enhance diagnostics accessibility through a web-based platform integration.

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.

This report from a veterinary clinical case observed a two-year-old Lhasa apso with generalized demodicosis and severe secondary bacterial pyoderma, successfully treated through an integrated approach combining ivermectin, antimicrobials, and supportive therapies, resulting in significant clinical improvement.

This review describes various types of folliculitis based on their causes, clinical manifestations, and treatments, but reports no new clinical results.

Postoperative folliculitis after hair transplants is a minor issue that doesn't relate to patient details or how much hair is transplanted.

This case report describes a patient who experienced recalcitrant folliculitis leading to atrophic scarring following eyebrow transplantation.

This case report documents a 30-year-old man's presentation with actinic superficial folliculitis and characterizes the inflammatory infiltrate, supporting the classification of this condition as a distinct disease entity.

This article presents two cases of keratosis follicularis spinulosa decalvans and reviews its features, highlighting characteristic progression from keratosis pilaris in infancy to cicatricial alopecia in childhood.

This study suggests that seborrhoeic folliculitis may represent a unique form of cicatricial alopecia, linking chronic scalp dermatitis-folliculitis with low-grade inflammatory fibrosing alopecia.

A man developed a rare scalp disorder, Folliculitis Decalvans, 20 years after hair restoration surgery, and it required long-term antibiotic treatment.

This article reviews immediate post-operative folliculitis, emphasizing its self-limiting nature and differentiation from infective folliculitis, but it reports no new clinical findings.