About this Research Topic
The main gap for smart healthcare appears because of the nature of technological advances as a driver of societal changes and their impact on established sectors that are highly regulated, such as health care. New technologies enable many new functions or new modes of collecting medical data. Many historical examples are available – every certified medical device that is in standard use was new technology at some time in the past getting through phases of validation, verification, standardization, and approvals by relevant agencies. Smart health devices are not different except for their ubiquity – they can be deployed at any location, any time, and any place. AI and the autonomy of these devices create challenges that may be technical, normative, or societal. The research on advancing technology and engineering aspects of software engineering for smart environments is expanding. On the other hand, the understanding of requirements related to the social and environmental impact of smart environments is developing at a much slower pace. Regulatory and standards harmonization needs to be achieved before smart health can be fully deployed in smart homes and smart cities.
For this Research Topic, we solicit submissions of original research articles, scientific reports, empirical studies, methodological articles, reviews, as well as opinions and commentaries. The common theme for these articles is the focus on AI-related health technologies and their applications in smart environments, such as smart homes or smart cities. The listed and related topics are suitable for this collection:
- Smart health home
- Smart health city
- Interoperability of smart health environments
- Intelligent mobile health applications
- Home health care algorithms
- Fitness and sports monitoring
- Management of chronic illness using IoT
- AI for healthy aging
- AI for public health analytics
- From Big Data to Smart Data analytics
- Safety, security, and governance of AI data in smart health environments
- Predictive analytics or trusted analytics in smart home healthcare?
- Health data sciences between IoT and health care practice
- Ethics and governance of smart health
- Ethics of smart environments
- Ethical design of home health care systems
- Normative environment for autonomous health monitoring systems
- Social impact of AI-driven health analytics
Vladimir Brusic is a co-founder of Lengyan Inc., established in 2021, a startup Company in Yantai, China. The focus of this company is the analysis of heart health using wearable sensors. The University of Nottingham Ningbo Chiina is a stakeholder in Lengyan Inc.
Keywords: AI in bioinformatics, AI in public health, Biomedical technology ethics, Smart health, Smart health city, Smart health home
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.