Manuscript Topics

In this technological era, it is very vital to design and develop automatic smart healthcare systems without too much complexity and significant consumption of resources. With the increase of human-centered platforms in every corner, there is a dire need to deploy and discuss adaptive and self-driven systems for efficient and accurate monitoring and outcomes. One of the renowned models of the self-adaptive emerging trends is Artificial Intelligence (AI)-based, or more precisely machine learning-based, smart systems. Such innovative technologies have improved the healthcare domain and radically changed the landscape of medical systems for providing services with ease and convenience. Moreover, the Internet of Thing (IoT) is the cornerstone in stimulating the latest technologies with regard to the physical world. Most of the current healthcare platforms could be integrated with the self-learning functionalities to effectively drive, monitor, and optimize human-centered systems' performance. Furthermore, end users could be given distinct options regarding the techniques and architectures by interconnecting human capabilities and cognitive abilities to increase the technological landscapes.

Human skills are further flexible and suitable ingredients to recognize the importance and significant roles of the built-in capabilities for interfacing and creating close connection between human perception and technological innovations. Moreover, human features and abilities, i.e., body structures, thinking abilities, cognitive aspects, decisive nature, and mental capabilities, are some ingredients that play a key role in IoT-based healthcare technologies. Thus, this special issue focuses on the strong knot between human cognitive perceptions and decision-making capabilities to develop innovative technologies that can revolutionize healthcare systems in different ways. Researchers from academia and industries are highly encouraged to submit the innovative ideas and contributions, following the main streams but not limited to:

• AI-based healthcare interaction applications
• Machine learning and IoT based health applications
• QoS/QoE optimization in smart healthcare
• Re-enforcement learning techniques for IoT enabled healthcare
• Self-centered and adaptive healthcare platforms for ambient assisted living
• Frameworks and architectures of self-driven medical technologies using AI and IoT
• Efficient resource allocation in IoT based human-centered systems
• AI for Brain Internet of Things
• Blockchain-enabled self-driven and adaptive applications for medical systems
• Adaptive technologies for pervasive and smart IoT centered healthcare systems
• Security, privacy, and trust in AI and IoT healthcare systems and applications

Instruction for Authors
https://www.aimspress.com/mbe/news/solo-detail/instructionsforauthors
Please submit your manuscript to online submission system
https://aimspress.jams.pub/