AI and Big Data for Smart Healthcare: Ensuring Privacy and Security
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: 30 September 2026 | Viewed by 10
Special Issue Editors
Interests: medical imaging informatics; diagnostic imaging; ambient assisted learning; computer vision
Special Issues, Collections and Topics in MDPI journals
Interests: cybersecurity; natural language processing; edge computing and applications of AI
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The integration of artificial intelligence (AI) and big data technologies is revolutionizing modern healthcare, enabling breakthroughs in disease prediction, diagnostics, medical imaging, personalized treatment, and clinical decision-making. By leveraging vast amounts of medical data, AI-driven approaches are reshaping the way healthcare services are designed, delivered, and optimized.
However, with the increasing reliance on sensitive medical data, the need to ensure privacy, security, and trustworthiness has never been greater. Data breaches, adversarial AI attacks, and lack of transparency in decision-making can significantly undermine patient safety and public confidence. Addressing these challenges requires not only algorithmic innovation but also the integration of robust privacy-preserving and security-enhancing frameworks into healthcare solutions.
This Special Issue is dedicated to advancing AI and Big Data for Smart Healthcare, with an essential focus on privacy and security in Smart Healthcare. Contributions should go beyond technical novelty and demonstrate how privacy, security, ethics, and compliance are built into the design and deployment of smart healthcare systems. We encourage submissions that showcase real-world applications such as secure hospital decision-support systems, privacy-aware telemedicine platforms, and resilient AI-based diagnostics.
The scope of this Special Issue includes, but is not limited to, the following topics:
- Machine learning and deep learning approaches for diagnosis
- Reinforcement learning and generative AI applications in healthcare
- Large-scale medical data management and analytics
- Federated learning for distributed healthcare data
- Secure electronic health records (EHR) sharing
- Threat modeling, intrusion detection, and anomaly detection in hospital networks
- Fairness, transparency, and accountability in healthcare AI
- Secure AI for medical imaging and clinical diagnostics
- Secure telemedicine and remote patient monitoring systems
Dr. Saqib Iqbal Hakak
Dr. Mamoon Rashid
Guest Editors
Manuscript Submission Information
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Keywords
- machine learning for diagnosis
- medical data management and analytics
- big data for smart healthcare
- privacy and security in smart healthcare
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