Innovative Sensors and IoT for AI-Enabled Smart Healthcare
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: 31 December 2024 | Viewed by 7526
Special Issue Editors
Interests: optimization and learning; acoustics; smart cities; sensors; Internet of Things
Special Issues, Collections and Topics in MDPI journals
Interests: neural engineering; low power sensors/IoT devices; hardware accelerators; FPGAs/ASIC; applied artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Interests: artificial intelligence; human–computer interaction; building robots
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The intersection of the innovative sensors, Internet of Things (IoT) and healthcare has ushered in a new era of medical advancements, revolutionizing patient care, data-driven diagnosis, and health monitoring. This special issue aims to explore the latest developments and innovations in the field of IoT and Smart Healthcare, focusing on cutting-edge research and technologies that enable the seamless integration of IoT devices into the healthcare ecosystem. As we move into a more connected and data-centric world, the importance of efficient and secure healthcare solutions cannot be overstated. This special issue will provide a platform for researchers, engineers, and practitioners to share their expertise and insights in this rapidly evolving domain.
In recent years, the healthcare industry has seen a dramatic transformation with the adoption of IoT technologies. The COVID-19 pandemic accelerated the need for remote healthcare monitoring and telemedicine, underlining the urgency of this special issue. Furthermore, advancements in Artificial Intelligence (AI), hardware accelerators, bendable electronics, and reconfigurable low-power IoT devices are crucial components of smart healthcare systems. These technologies enable real-time data analysis, personalized treatment, and efficient resource management, ultimately improving patient outcomes and reducing healthcare costs.
Dr. Chan Hwang See
Dr. Arfan Ghani
Prof. Dr. Simeon Keates
Guest Editors
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Keywords
- machine learning and deep learning applications in disease detection, prediction, and personalized treatment
- RFID Sensors for the IoT healthcare system
- neuromorphic healthcare sensors Thin film, bendable electronics for healthcare monitoring FPGA and GPU-based accelerators for real-time data processing in medical devices
- sensors and devices for continuous vital sign monitoring and health assessment
- smart drug administration and dosage control
- data encryption, authentication, and privacy in healthcare IoT
- telehealth solutions for remote patient care and disease management
- big data analytics and data-driven decision-making in healthcare
- IoT integration in medical imaging modalities for improved diagnostics
- building scalable and resilient IoT architectures for healthcare applications
- user-friendly interfaces for patients and healthcare professionals
- addressing the ethical and regulatory challenges of IoT in healthcare
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