The rapid growth of IoT emphasizes the need for compact, low-cost sensors that can record, process, store, and communicate data accurately and reliably. When AI is integrated with IoT, it offers numerous benefits, notably in the realm of smart healthcare systems, where ubiquitous computing and traditional computational approaches are insufficient. New difficulties and opportunities in the development and deployment of AI with IoT in the context of smart healthcare systems provide fertile ground for research and innovation. It necessitates new methodological, theoretical, and mathematical modeling, application-oriented protocols, and computational approaches that consider recent breakthroughs.
Healthcare Internet of Things (IoT) system architectures.
In mobile applications, health data exchange and interoperability are important.
AI and IoT technologies for healthcare automation design and evaluation.
Hybrid AI and IoT-enabled healthcare solutions that are energy efficient.
Tools, methodologies, and infrastructure for developing and deploying AI and IoT-enabled healthcare systems.
Data Transmission and Healthcare System Optimization
Exploration and data mining of health records.
In IoT healthcare, standards and interoperability are important.
IoT Healthcare Security and Privacy.
Dr. SK Hafizul Islam
Department of Computer Science and Engineering,
Indian Institute of Information Technology Kalyani
West Bengal 741235, India
Dr. Debabrata Samanta
Department of Computer Science
CHRIST (Deemed to be University), Bangalore, India