Smart healthcare technologies are revolutionizing medical fields. AI-powered chatbots, robotic surgery, and automated workflows streamline healthcare services. AI-driven decision support systems can help clinicians make accurate, data-driven medical decisions. AI-based mental health apps and virtual therapists offer personalized therapy. Big data analytics and machine learning algorithms can help in disease prediction and personalized care, enhance diagnostic accuracy, and recommend the most effective treatment strategies. Smart devices monitor vital signs in real-time, alerting users and healthcare providers to potential health risks for proactive intervention. Telemedicine, remote monitoring, and AI-assisted home healthcare provide accessible healthcare for underserved areas and improve the quality of life and independence for the elderly and patients with chronic diseases.

In this Special Issue, we solicit papers that explore various aspects of smart healthcare, including AI applications that enable more accurate diagnoses and personalized treatments, healthcare informatics with a focus on the utilization of big data analytics, machine learning algorithms, and data visualization. Another example is the use of wearable devices, IoT sensors, and mobile health applications to monitor vital signs and track chronic conditions. The Special Issue also welcomes papers that analyze and interpret healthcare data to inform clinical decision-making, population health management, and healthcare policy.