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This review highlights the significant impact of cutaneous and oral mucosal adverse events on patients undergoing breast cancer treatment, emphasizing the need for early detection and comprehensive management to maintain treatment adherence and enhance patient care.

This study found that after 6 months of taking an oral supplement, patients with chronic telogen effluvium or androgenetic alopecia experienced a statistically significant increase in hair density and overall improved hair appearance compared to those taking a placebo, with the supplement being well tolerated.

This study used bibliometric analysis to evaluate global research on AI applications in dermatology, identifying 406 relevant papers and highlighting current priorities such as machine learning for wound progression, AI in teledermatology, and applications for skin diseases.

This review highlights that gut dysbiosis and bacterial extracellular vesicles are key factors in PCOS pathophysiology, and suggests AI-driven analysis of these profiles could enhance diagnostic accuracy and treatment personalization, though ethical concerns like data privacy and bias must be considered.

In this scoping review, researchers observed that while AI-assisted trichoscopy holds promise for standardized assessments of hair and scalp disorders, its clinical translation is limited by small proprietary datasets, inconsistent validation protocols, and a scarcity of real-world clinical studies.

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.

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.

In this case report, a 38-year-old woman with Parry–Romberg syndrome displayed left-sided facial atrophy and subclinical central nervous system involvement detectable by neuroimaging, suggesting that even symptom-free cases may benefit from systematic brain evaluations.

This review found that cosmeceuticals blend cosmetic and biological skin effects, offering promise in mild dermatoses and photoaging prevention, yet face challenges like regulatory gaps and the need for standardized definitions and pharmacovigilance systems.

In this study, the Tibot AI application showed high diagnostic accuracy for adnexal and pigmentary disorders and cutaneous tumors in dermatology, but was less effective for immunological disorders and infestations, suggesting the need for further dataset refinement.

This review synthesizes research on solar radiation's multifaceted effects on skin and recent advancements in sunscreen technology, including formulation, testing methods, and the use of AI, to inform future sun protection product development.

This review examines the use of computer vision techniques, specifically deep learning architectures and image processing algorithms, for detecting and assessing skin conditions like vitiligo and dermatitis, and highlights the need for disease-specific datasets to improve automated diagnostic tools in dermatology.

This article describes current advancements and future possibilities in skin imaging technology, teledermatology, and AI in dermatology, without reporting new research results.

This research highlighted that AI-assisted surgical robots could significantly enhance surgical precision and efficiency by analyzing patient data, making real-time decisions, and automating repetitive tasks, thus potentially improving patient safety and surgical outcomes.

This review discusses the transformative potential and challenges of using AI in cosmetic dermatology, highlighting how AI is enhancing diagnostics, treatment personalization, and patient satisfaction while addressing issues such as data quality and ethical concerns in order to ensure responsible and ethical implementation.

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.

This study highlights the potential benefits and current limitations of robotic systems in nipple-sparing mastectomies, noting their promise in reducing surgeon fatigue but pointing out challenges such as longer operating times, high costs, and limited haptic feedback.

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.

This review highlights recent advances in the design of nanocarrier systems for transdermal drug delivery, detailing their potential to improve treatment precision for dermatologic conditions despite challenges like formulation stability and scalability.

This research discusses the shift in cosmetic dermatology towards integrating regenerative medicine, AI, and personalized care, highlighting their potential to improve aesthetic outcomes and skin function while considering ethical and regulatory challenges.

This review discusses the potential of microneedles in cancer diagnosis and treatment, highlighting advances and ongoing clinical trials, but reports no new results; it emphasizes the minimally invasive nature of this technology.

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.

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.

This review highlights that robot-assisted surgery is still in its early stages within plastic surgery, especially for aesthetic procedures, due to challenges like high costs, equipment bulkiness, and limited docking methods despite the precision advantages offered by such technology.

This review of robotic systems in aesthetic plastic surgery found they offer precision and minimally invasive access, but their adoption is limited by high costs and technological limitations; further research is needed for standardization and wider application.

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.

AI and advanced technologies are improving medical diagnostics and treatments.

Patients found AI helpful for alopecia diagnosis but want it to support, not replace, doctors.

This literature review highlights a shift in aesthetic medicine towards patient-centered care, emphasizing psychological well-being and minimally invasive techniques, while also addressing ethical challenges and the integration of AI, regenerative medicine, and digital tools for personalized care.

This narrative review highlights innovations in regenerative medicine and longevity research within plastic surgery, emphasizing biological, ethical, and regulatory aspects. The study underscores the potential to extend healthspans while balancing these advances with ethical considerations and safety.