Stress can have a significant impact on a person's physical and psychological health. It may lead to serious and severe consequences such as anxiety, depression, cardiovascular diseases, cognitive impairments, and a weakened immune system. Therefore, early detection of stress, continuous monitoring of its levels, and the implementation of preventive measures are among the key areas of modern medicine, psychology, and healthcare systems. In recent years, there has been a growing interest in innovative platforms for stress assessment and management, including devices based on artificial intelligence, the Internet of Things (IoT), and biosensors. The role of these technologies in healthcare is becoming increasingly significant, as they enable continuous recording, analysis, and real-time data processing of an individual’s physiological parameters. This paper provides a comprehensive review of stress monitoring and assessment methods based on modern technologies. In particular, it explores the potential of using sensors for physiological parameter registration and IoT-based technologies. Sensors designed for measuring physiological indicators allow for the continuous monitoring of parameters such as heart rate, respiratory rate, skin conductivity, body temperature, blood pressure, blood oxygen level, and other vital metrics. These data are processed using various methods for determining and assessing stress levels. These technologies facilitate timely responses to an individual's condition, the implementation of effective measures for stress reduction, overall health improvement, and personalized patient care. Such innovative approaches open new perspectives in the healthcare system, contributing to an enhanced quality of life and improved well-being of the population.