Innovations in Digital Healthcare Sensing: AI and IoT Intelligence
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biomedical Sensors".
Deadline for manuscript submissions: 20 November 2026 | Viewed by 948
Special Issue Editors
Interests: digital healthcare; IoT; AI; AI in healthcare and finance
Special Issue Information
Dear Colleagues,
This Special Issue explores advancements in sensor technologies, Large Language Models (LLMs), Small Language Models (SLMs), and IoT edge intelligence, transforming digital healthcare. AI-driven analytics and real-time sensing are enhancing remote monitoring, early diagnostics, and personalized treatment, making healthcare more scalable, efficient, and accessible.
We invite contributions on LLM/SLM-powered healthcare sensing, IoT edge intelligence for decentralized and low-latency applications, multimodal data fusion for enhanced medical insights, and the role of wearable and implantable sensors in continuous health monitoring. Research on AI-driven health analytics, predictive disease modelling, and cost-effective sensing solutions for resource-limited settings is highly encouraged.
This issue aims to tackle real-time data processing, interoperability, and decision support challenges, ultimately advancing medical decision-making and patient outcomes.
Dr. Akshi Kumar
Prof. Dr. MPS Bhatia
Guest Editors
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Keywords
- digital healthcare sensing
- large language models (LLMs) & small language models (SLMs) in healthcare
- IoT edge intelligence
- wearable & implantable sensors
- AI-driven medical analytics
- multimodal sensor fusion
- real-time health monitoring
- smart diagnostics
- biomedical signal processing
- remote patient monitoring
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