IoT-Enabled Healthcare Systems: Intelligent Diagnosis and Telemonitoring
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".
Deadline for manuscript submissions: 25 December 2025 | Viewed by 31
Special Issue Editors
Interests: 5G/6G; deep learning; health care; monitoring system; Internet of Things
Interests: medical image analysis; AI in healthcare; computer-aided diagnosis; AI in drug design; anticancer peptides analysis
Special Issues, Collections and Topics in MDPI journals
Interests: ambient assisted living; healthcare; intelligent information processing; big data; software engineering
Interests: wireless network protocols; multiple access control; wireless resource allocation; network topology
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Rapid advancements in the Internet of Things (IoT) have significantly impacted the healthcare domain, leading to the development of intelligent systems for diagnosis, monitoring, and treatment. This Special Issue, titled "IoT-Enabled Healthcare Systems: Intelligent Diagnosis and Telemonitoring", explores the intersection of IoT technologies with artificial intelligence (AI), machine learning (ML), deep learning (DL), quantum computing, and other cutting-edge techniques to revolutionize healthcare delivery. The integration of IoT in healthcare enables real-time data collection, analysis, and personalized care solutions, improving patient outcomes and enhancing the efficiency of medical systems. The next-generation connectivity provided by 5G and the emerging 6G networks promises to further accelerate the evolution of IoT-based healthcare systems; 5G enables ultra-low latency, faster data transfer rates, and the massive connectivity required for real-time health monitoring, remote diagnostics, and telemedicine. With the advent of 6G, even higher speeds, integrated AI systems, and ubiquitous connectivity will support more sophisticated healthcare applications, including AI-powered telehealth, autonomous medical devices, and immersive remote care experiences. This Issue highlights novel approaches, challenges, and advancements in this field, showcasing innovative research on AI- and ML-based models, telemedicine, and healthcare applications.
Dr. Abdul Ahad
Dr. Qiangguo Jin
Dr. Lipeng Gao
Dr. Zhongjiang Yan
Guest Editors
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Keywords
- Internet of Things (IoT)
- 5G and 6G networks
- intelligent diagnosis
- telemonitoring
- artificial intelligence (AI)
- machine learning (ML)
- deep learning (DL)
- quantum computing in healthcare
- smart healthcare systems
- real-time health monitoring
- telemedicine and remote diagnostics
- wearable health devices
- healthcare data analytics
- predictive healthcare technologies
- AI-driven healthcare solutions
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