Internet of Things, Artificial Intelligence, and Edge Computing for Smart Health

Dear Colleagues,

In this Special Issue, we welcome original research articles, review papers, and case studies that focus on novel methodologies, frameworks, and applications of IoT, AI, and Edge Computing in Smart Health. The intersection between AI and healthcare raises critical ethical, security, and privacy concerns, especially with the increasing reliance on autonomous decision-making, decentralized health data processing, and real-time patient monitoring. Contributions addressing AI bias, patient data protection, algorithmic transparency, and compliance with international regulatory frameworks (e.g., GDPR, EU AI Act, HIPAA) are also encouraged. This Special Issue aims to explore innovative yet responsible AI solutions that improve healthcare outcomes while maintaining trust, security, and fairness in medical decision-making.

Topics of interest for this Special Issue include, but are not limited to, the following:

• IoT-Enabled Smart Healthcare Solutions

• • Wearable sensors and real-time remote patient monitoring.
  • IoT-based personalized medicine and precision healthcare.
  • Smart hospital systems and AI-enhanced clinical workflows.

• Deep Learning and AI in Healthcare

• AI-driven disease diagnosis, medical imaging, and radiology.
• Predictive analytics for patient risk assessment and early diagnosis.
• Neural networks for automated medical decision-making.
• Bias mitigation and fairness in AI-driven healthcare models.

• Edge Computing for Healthcare Applications

• • Low-latency AI models for real-time health monitoring.
  • Federated learning approaches for decentralized medical AI.
  • Cloud-edge integration for scalable AI-driven healthcare.
  • Energy-efficient edge AI architectures for wearable and mobile health devices.

• AI-Driven Healthcare Robotics

• • Surgical robots enhanced with AI-powered precision and automation.
  • AI-assisted rehabilitation systems for physical therapy and post-surgery recovery.
  • IoT-enabled intelligent prosthetics that adapt to real-time patient movements.
  • Ethical and regulatory challenges in autonomous healthcare robotics.

• Privacy, Security, and Ethics in AI-Driven Health Systems

• • Privacy-preserving AI models (homomorphic encryption and differential privacy).
  • Blockchain and secure data-sharing frameworks for medical IoT.
  • Regulatory compliance with GDPR, the EU AI Act, HIPAA, and global health data privacy laws.
  • Ethical challenges in AI-driven healthcare (autonomy, consent, bias, and fairness).
  • Explainable AI (XAI) and trust in AI-driven medical decisions.
  • Cybersecurity threats in AI-powered healthcare IoT ecosystems.

• AI for Telemedicine and Remote Healthcare

• • AI-driven chatbots and virtual assistants for healthcare.
  • Remote diagnostics and AI-powered telemedicine solutions.
  • AI-powered mental health and behavioral analytics.
  • Legal and ethical challenges in AI-assisted remote healthcare.

• Emerging Trends in AI and Healthcare

• • Human-centric AI and explainable AI (XAI) in medicine.
  • Smart rehabilitation and assistive AI for elderly care.
  • AI-driven drug discovery and biomedical research applications.
  • Hybrid AI models combining symbolic AI, deep learning, and reinforcement learning in healthcare.

We invite researchers and professionals to submit original research articles, review papers, and case studies that align with the outlined topics. All submissions will undergo rigorous peer review to ensure high scientific quality and relevance.

We look forward to receiving your contributions that will help shape the future of AI, IoT, and Edge Intelligence for Smart Healthcare.

Dr. Yiannis Koumpouros
Guest Editor

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• smart healthcare
• internet of things (IoT)
• deep learning in medicine
• edge computing for healthcare
• federated learning in health AI
• medical data privacy and security
• wearable health technology
• AI-driven diagnostics
• telemedicine and remote monitoring
• AI-based personalized medicine