<p>Machine Learning (ML) applications are significantly influencing the healthcare sector, driving notable advancements. ML, a subset of Artificial Intelligence (AI), aims to enhance the efficiency and precision of medical professionals’ tasks. Given the strain on global healthcare systems due to a shortage of skilled physicians, AI and ML have emerged as powerful technologies capable of improving disease detection, diagnosis, personalized treatment, real-time health monitoring, and various aspects of healthcare delivery. This paper highlights the importance and potential benefits of AI and ML in healthcare and provides a comprehensive survey of their applications in wearable devices. It also discusses data collection, edge computing, AI integration, interpretability of ML models, and privacy and security concerns. The study explores specific AI models such as deep learning, and reinforcement learning in healthcare, presents quantitative insights into AI performance metrics, and offers a comparative analysis of AI techniques in different healthcare applications. Furthermore, the in-depth survey of current state-of-the-art ML and AI applications in healthcare highlights the need for ongoing research and collaboration to fully harness these technologies, enhancing patient satisfaction and healthcare services.</p>