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This study reports that various surgical techniques for scalp reconstruction in children with hair loss at the Hair Clinic Poznan resulted in very good aesthetic outcomes and minimized complications.

This study evaluated treatments for frontal fibrosing alopecia and found hydroxychloroquine and 5a-reductase inhibitors to be most effective, with 70-72% of patients experiencing stabilization or improvement, but limitations in treatment consistency and assessment methods remain.

Androgenetic alopecia is the only hair loss condition with specific diagnostic criteria in trichoscopy.

This review discusses the characteristics and diagnostic challenges of fibrosing alopecia pattern distribution, proposing an algorithm for hair transplantation, but reports no new clinical results.

In this study, the author outlines an algorithm for treating patients with psychosomatic disorders in Ukraine during wartime, noting that treatment starts with medication and later incorporates psychotherapy, with patients selecting from suggested medications.

This article discusses the genetic polymorphisms affecting the antioxidant system and suggests that personalized detoxification plans and nutrition may be beneficial for patients with chronic diseases, but it reports no new clinical findings.

This study suggests that reconstructive methods for burn alopecia should be tailored to the conditions of the scarring, with scalp extension and expansion recommended only for large, poor-quality alopecia due to a high complication rate.

This study describes a management approach for scalp electrical injuries, emphasizing thorough debridement as key to successful reconstruction outcomes.

This study presents a new hair removal algorithm for dermatoscopic images of skin lesions that improves hair detection accuracy by 2–7% and hair repair accuracy by 2–5% on average, using advanced techniques like maximum variance fuzzy clustering, Criminisi priorities, and the ant colony algorithm.

This study introduced a non-invasive, three-step diagnostic algorithm for alopecia that combines clinical and trichoscopic features to accurately identify alopecia subtypes, potentially reducing reliance on invasive histopathology.

This study found that the multi-thresholding method was the most effective for segmenting hair during laser removal, as it clearly distinguished hair patterns with minimal noise.

In this study, researchers aimed to develop a Naive Bayes algorithm to predict hair loss risk based on personal and clinical data, including age, gender, stress levels, hormones, and family history. Results were not reported.

In this study, the XGBoost algorithm successfully diagnosed polycystic ovary syndrome with an accuracy of 0.87 using a dataset from Kerala, suggesting its usefulness for classification problems in healthcare.

This research review explores an algorithmic approach to scalp reconstruction, emphasizing the importance of considering defect location, size, and local scalp anatomy in optimizing cosmetic and functional surgical outcomes.

This review discusses an algorithm using patient history, clinical examination, and tests to help diagnose hair loss in women, but it reports no new clinical results.

In this study, the researchers reported that their novel algorithm for hair restoration in dermoscopy images achieved high accuracy and texture preservation, outperforming other techniques in diagnostic accuracy and texture quality measures.

This article reviews lip reconstruction techniques after Mohs surgery, presenting an algorithm to aid decision-making based on defect location and tissue involvement, and reports no new clinical results.

This study evaluates a framework using neural networks and machine learning techniques to classify and detect Alopecia Areata from hair images, aiming for accurate differentiation between healthy hair and the condition.

This review discusses the role of HPV vaccination and early screening in reducing cervical cancer incidence but reports no new clinical results.

This article presents an algorithmic approach to diagnosing, staging, and treating pattern hair loss and discusses hair transplant decision-making, without reporting new clinical results.

This study describes a new treatment algorithm for alopecia areata that includes both disease severity and quality-of-life considerations, highlighting recent therapeutic advances and the need for future validation and access equity.

This case study examined a 72-year-old woman with unique hair shaft constrictions consistent with monilethrix, despite features atypical for this condition, ultimately reaching a diagnosis that led to successful improvement using oral minoxidil and reduced hair trauma.

In this study, experts propose a diagnostic and treatment guideline for folliculitis decalvans, emphasizing the role of trichoscopy and introducing a therapeutic algorithm tailored to disease activity, which is significant for clinical management given the lack of specific clinical trials.

This review consolidates the opinions of top Canadian dermatologists on managing telogen effluvium, highlighting the importance of proper diagnosis, identifying triggers, and patient education.

In this study, researchers explored drug repurposing as a potential strategy for treating psoriasis and identified Pioglitazone, Trimipramine, and Dimetindene as promising candidates for this indication, based on molecular docking and predictive algorithms.

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 study utilized the Random Forest Algorithm to create a machine learning model aimed at accurately predicting hair loss by considering complex datasets involving genetic, hormonal, lifestyle, and environmental factors, but specific outcomes were not reported.

This study developed a support vector machine model using trichoscopic patterns to accurately classify androgenic alopecia severity, with an accuracy of 94.3% in training and 90.0% in test datasets.

In this study, bond-protecting additives combined with low-volume oxidants were shown to reduce hair damage in fine hair by up to 62% compared to standard bleach methods, offering a safer bleaching approach for colorists working with this hair type.