Abstract
Hair loss, or alopecia, is a complex disorder that impacts individuals worldwide, frequently resulting in significant psychological and social consequences. This review analyzes the multifactorial etiology, recent diagnostic innovations, and emerging treatment alternatives for hair loss management. Alopecia is classified into the cicatricial (scarring) and non-cicatricial (non-scarring) forms, each having a unique underlying pathogenesis, ranging from autoimmune dysregulation, androgenetic mechanisms, and environmental factors. Recent advancements in diagnostics, such as artificial intelligence (AI)-enhanced imaging and biomarker analysis, have improved precision and individualization of treatment. Novel therapies, such as low-dose oral minoxidil (LDOM), topical 5-alpha reductase inhibitors, and Janus kinase inhibitors (JAKi), offer a range of promising options for hair loss management. Non-invasive therapies, such as low-level laser therapy (LLLT) and platelet-rich plasma (PRP) injections, have demonstrated synergistic benefits with existing treatments. Surgical advancements, especially AI-assisted robotic follicular unit extraction (FUE), enhance precision and outcomes. Emerging trends in regenerative medicine, especially stem-cell-based therapies and AI integration, are influencing the future of customized hair restoration. This review serves as a comprehensive guide, highlighting the use of innovative technologies and therapies in enhancing the accuracy and customization of hair loss treatment.