Integrating Smart Sensors and Artificial Intelligence Technologies for Human Healthcare Applications
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biomedical Sensors".
Deadline for manuscript submissions: 10 May 2025 | Viewed by 175
Special Issue Editors
Interests: network science; evolutionary computation; and artificial intelligence; including natural language processing; machine learning; deep learning; graph representation learning; swarm intelligence and big data analytics in support of smart services; cybersecurity; population health
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Interests: cyber and strategic deterrence; flow of information and disinformation in irregular warfare; flow of cyberattacks and network resiliency in cyber warfare; flow of infectious diseases in biological warfare and resilience of supply chains
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Special Issue Information
Dear Colleagues,
This Special Issue, titled ‘Integrating Smart Sensors and Artificial Intelligence Technologies for Human Healthcare Applications’, seeks to explore the synergistic integration of the latest smart sensor systems and artificial intelligence (AI) technologies to modernize human healthcare. This Special Issue will focus on innovative research that leverages smart sensors to collect real-time health data and employ AI techniques such as machine learning, deep learning, natural language processing, predictive analytics and computer vision to classify and process health information to achieve early diagnosis and treatment. We welcome contributions to innovative approaches related to all aspects of smart healthcare for implementing these technologies in early disease detection and diagnosis, early intervention, personalized healthcare, disease prediction, human-centric disease management, and telemedicine and home healthcare. In addition, studies addressing the integration of AI with wearable sensors, internet-based health monitoring smart systems, healthcare robotics, and the inclusion of robots in the clinical and health sciences for enhancing health professionals’ decision-making and patient outcomes are also invited. Contributions can be original research, review articles, or case studies that emphasize the key roles of AI-driven sensors in improving the efficiency of healthcare services, their accuracy in determining anomalous physiological events, and the reduction in burden on clinical analysis findings.
Dr. Basheer Qolomany
Dr. Jacques Bou Abdo
Prof. Dr. Liaquat Hossain
Guest Editors
Manuscript Submission Information
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Keywords
- smart sensors in healthcare
- artificial intelligence in healthcare
- predictive healthcare analytics
- wearable health technologies
- remote patient monitoring
- personalized medicine
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