About this Research Topic
Every piece of medical technology and software that can gather, analyze, and exchange data online falls under the IoMT submarket of the Internet of Things. Health telemonitoring, home or hospital vital sign surveillance, and wearable technology are among them. Health services have widely adopted IoMT due to the huge advantages it has generated in disease management and drug distribution, expanding therapy methods, reducing costs, and enhancing the quality of life and user experience for patients and medical staff.
This Research Topic discusses the present challenges confronting IoMT-based future innovations and technologies for smart healthcare applications. This Research Topic holds significant value for academics, professionals, and individuals in the field, as it aims to elucidate the vast potential of IoT in the medical field and highlight the considerable challenges posed by IoMT. By including this topic, it will enable academics to better understand the previous roles IoT has played in the healthcare industry.
Topics of interest include but are not limited to:
• In-hospital and in-home remote real-time healthcare and patient monitoring using IoMT.
• Innovative IoMT devices and wearable and/or ambient sensors, including biomedical sensors and microsystems for IoMT healthcare engineering.
• IoMT cybersecurity, security, privacy, and trust practices, blockchain-based security protocols for IoMT systems.
• The role of Artificial Intelligence (AI) in the IoMT: healthcare AI for IoMT networks, AI-based novel disease detection and prevention solutions, AI-based smart solutions for continuous health monitoring systems and support.
• Communication technologies for the IoMT.
• Terahertz technology on the IoMT.
• Efficient novel smart IoMT-based health applications, as IoT-based wearable sensors and trackers and smart healthcare.
• Smart healthcare using next-generation IoMT Networks: challenges and potential solutions.
• Human-Machine Interface for IoMT, and Machine learning and deep learning approaches in IoMT-enabled health data analytics.
• AI-enabled remote Patient Monitoring, using IoMT.
• Computational intelligence-enabled data processing techniques in IoMT and smart healthcare systems.
• Supervised and unsupervised learning for health monitoring systems in IoMT and smart healthcare systems.
• Multimedia information retrieval and indexing in smart healthcare and IoMT.
• Robotic process automation in patient care and its future applications.
• Federated learning for managing consistency in distributed medical systems with IoMT.
• Cloud computing for complex health data.
• Complex biomedical complex data handling over IoMT, and large-scale data analytics tools and technologies for healthcare.
• Blockchain, AI and fog computing for IoMT applications
• IoMT in genomics.
• IoMT devices in pharmaceutical industries.
• Socio-economic challenges of smart health using IoMT
Keywords: Internet of Medical Things, Remote patient monitoring, Telehealth, Smart healthcare, IoMT framework, Blockchain, Machine Learning
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.