Healthcare undoubtedly ranks as one of the largest industries globally, with a substantial 5-18% of the total global GDP allocated to health and care. As our society ages, healthcare expenditure in the vast majority of countries continues to outpace their GDP growth. An interplay of social, demographic, economic, and technological factors is reshaping the healthcare landscape, demanding intelligent, pervasive, compassionate, and personalized solutions.
The Artificial Intelligence of Things (AIoT) delivers flexible and accurate biosignal sensing, multi-granularity and multi-modality big data analytics, and responsive and customizable healthcare services for users. The synergy between AIoT and healthcare has the potential to revolutionize existing medical treatment and care systems by streamlining medical processes, facilitating remote patient monitoring and individualized telemedicine providing precise treatment recommendations, enabling early diagnosis and intervention, and improving patient outcomes.
Nonetheless, despite the theoretical advancements made over the past few years, research on AIoT for smart healthcare remains in its nascent stages, with many technical conundrums to be addressed before reliable and large-scale implementations. This special issue focuses on addressing the major challenges of AIoT for smart healthcare.
Topics covered include, but are not limited to:
- AIoT resource management and data analytics schemes for smart healthcare
- AIoT algorithms and services for smart healthcare
- AIoT architectures and frameworks for smart healthcare
- AIoT-based imaging and image processing for smart healthcare
- AIoT security, privacy, and trust solutions for smart healthcare
- Artificial Intelligence of Wearable Things for smart healthcare
- AIoT decision support design and prototypes for smart healthcare
- Ultra-reliable and explainable AIoT for smart healthcare
- Submission deadline: 15 March 2024
- First notification: 15 June 2024
- Final notification: 15 December 2024
- Publication date: 2025
Please read the Guide for Authors before submitting. The manuscripts submitted here should not be concurrently submitted for publication in other venues. All articles should be submitted online via the editorial management system by selecting “AIoT for SmartHealth” under the “Select Article Type” tab.
- Honggang Wang, Yeshiva University, USA
- Enzo Mingozzi, University of Pisa, Italy
- Tarik Taleb, University of Oulu, Finland
- Dapeng Wu, Chongqing University of Posts and Telecommunications, China
- Boran Yang, Chongqing University of Technology, China