IoMT-Enabled Smart Healthcare: State-of-the-Art, Security and Future Directions

The Internet of Medical Things (IoMT) has become a game-changing force in the healthcare sector, revolutionizing the management of patient care and the provision of medical services. IoMT improves patient monitoring, diagnoses, therapy, and overall healthcare management by using the potential of linked medical devices, wearable sensors, and healthcare systems. This paper thoroughly analyzes recent research trends in computing architectures and communication technologies in IoMT-enabled smart healthcare. We examine the most recent advancements in IoMT technology and applications, emphasizing how they affect patient outcomes, healthcare expenditures, and quality of care. We explore some of the most important areas of IoMT research, such as remote patient monitoring, real-time data analytics, and integration with cutting-edge technology such as machine learning (ML) and deep learning (DL). Furthermore, we explore the use cases in IoT-based healthcare, data analytics techniques, and challenges in IoMT. Security and privacy measures in IoMT are also discussed in the paper. The paper concluded with open discussion and future research directions in IoT-based healthcare.