Artificial Intelligence Innovations for Smart and Sustainable Healthcare
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 31 January 2026 | Viewed by 76
Special Issue Editors
Interests: e-health; artificial intelligence; explainability
Special Issues, Collections and Topics in MDPI journals
Interests: medical decision support; healthcare AI; explainable AI
Special Issue Information
Dear Colleagues,
The integration of artificial intelligence (AI) into healthcare is driving a paradigm shift toward smarter, more efficient, and sustainable medical systems. This Special Issue aims to explore the latest innovations in AI techniques and their transformative impact on healthcare delivery, diagnostics, patient monitoring, and decision support. We invite original research, review articles, and case studies that highlight novel algorithms, real-world clinical applications, and interdisciplinary approaches involving data science, medical practice, and digital technologies. Particular attention will be given to works that promote transparency, scalability, and sustainability in healthcare solutions powered by AI. At the same time, given the critical nature of medical data and infrastructures, we encourage contributions addressing the robustness and resilience of AI systems in e-health settings. This includes secure and privacy-aware models, trustworthy data processing frameworks, and intelligent communication protocols specifically designed for healthcare environments.The goal is to foster a scientific dialogue that bridges the gap between technological advances and practical implementation in diverse healthcare environments while ensuring the reliability, security, and long-term sustainability of AI-powered healthcare systems.
Dr. Martina Iammarino
Dr. Chiara Verdone
Dr. Stefano Galantucci
Guest Editors
Manuscript Submission Information
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Keywords
- machine learning
- smart healthcare
- sustainable healthcare
- clinical decision support
- health informatics
- explainable AI
- artificial intelligence in medicine
- digital health
- privacy-preserving AI
- robust AI systems
- secure e-health protocols
- medical data security
- trustworthy AI
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