The present study represents the review on the use of sensors, Artificial Intelligence, and the Internet of Things in smart healthcare systems. Specially systems in continuous monitoring of critical patient’s state, including coronary heart rate or pulse, blood pressure, respiration rate, temperature etc. These technologies have made real-time monitoring of multiple symptoms possible, and the data obtained from them are quite accurate and invaluable in early detection and management of health issues. AI identifies anomalies and patterns in sensor facts. While IoT allows for easy verbal exchange between healthcare devices and carriers. Thus, enabling remote monitoring and actual time decision-making. In essence, this integration of IoT and AI makes possible analytical and predictive capabilities, personalized remedies, and continuous patient tracking that improve healthcare outcomes, and reduces the workload on facilities. The continuous evolution of these technologies is transforming patient care by enabling proactive intervention, enhancing disease prevention and management.