Artificial Intelligence in Dry Eye Disease: A Narrative Review.

Dry eye disease (DED) is a multifactorial condition affecting millions worldwide, characterized by discomfort, visual disturbance, and potential damage to the ocular surface. The complexity of its diagnosis and management, driven by the diversity of symptoms and underlying causes, presents significant challenges to clinicians. Artificial intelligence (AI) has emerged as a transformative tool in healthcare, offering potential solutions to these challenges through its data analysis, pattern recognition, and predictive modeling capabilities. This narrative review explores the role of AI in diagnosing, treating, and managing dry eye disease. AI-driven tools such as machine learning algorithms, imaging technologies, and diagnostic platforms are examined for their ability to enhance diagnostic accuracy, personalize treatment approaches, and optimize patient outcomes. Furthermore, the review addresses the limitations of AI technologies in ophthalmology, including the need for robust clinical validation, data privacy concerns, and the ethical considerations of integrating AI into clinical practice. The findings suggest that while AI holds promise for improving the care of patients with DED, ongoing research and development are crucial to realizing its full potential.

A Comprehensive Review on Harnessing Wearable Technology for Enhanced Depression Treatment.

Depression is a prevalent and debilitating mental health disorder that significantly impacts individuals, families, and societies worldwide. Despite advancements in treatment, challenges remain in effectively managing and monitoring depressive symptoms. Wearable technology, which encompasses devices that can monitor physiological and behavioral parameters in real time, offers promising new avenues for enhancing depression treatment. This comprehensive review explores the potential of wearable technology in managing and treating depression. It examines how wearables can monitor depressive symptoms, improve patient engagement and adherence to treatment plans, and provide valuable data for personalized treatment strategies. The review covers the integration of wearable technology in clinical settings, the role of wearables in remote monitoring and telemedicine, and the ethical and privacy considerations associated with their use. Additionally, it highlights case studies and pilot programs demonstrating the practical applications and outcomes of wearable technology interventions. Future directions and innovations are discussed, identifying potential advancements and challenges in this emerging field. This review aims to inform healthcare professionals, researchers, and policymakers about the opportunities and challenges of integrating wearable technology into depression treatment, ultimately contributing to improved mental healthcare outcomes.

Non-invasive Management of Head and Neck Neuralgia: A Literature Review.

Head and neck neuralgia is a prevalent condition impacting millions worldwide, necessitating both invasive and non-invasive management strategies. This review focuses specifically on non-invasive approaches. Using the International Classification of Headache Disorders (ICHD-3), we categorized neuralgia causing head and neck pain to structure our literature search. Our review identified several non-invasive management techniques, including physiotherapy, pharmacological treatments, Pulsed Radiofrequency, local anesthesia blocks, Botulinum toxin injections, and non-invasive neuromodulation. This review highlights various effective non-invasive strategies for managing head and neck neuralgias, supported by studies published until 2023. These findings emphasize the clinical relevance of tailoring treatment plans to individual patient needs, considering the specific type of neuralgia and optimizing outcomes in clinical practice.