Machine Learning and Computational Methods for Smart Healthcare Applications
A special issue of Future Internet (ISSN 1999-5903). This special issue belongs to the section "Smart System Infrastructure and Applications".
Deadline for manuscript submissions: 20 November 2026 | Viewed by 766
Editors
Interests: intelligent systems; artificial intelligence; machine learning; intelligent agents; multiple knowledge representations; AI and cognitive sciences
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Large language models (LLMs) are rapidly transforming medicine and healthcare by enabling advanced understanding, reasoning, and generation of medical knowledge from heterogeneous data sources. After decades of incremental progress in medical AI, recent breakthroughs in LLMs have made the long-promised revolution in medical services technically feasible, supporting scalable, adaptive, and knowledge-intensive healthcare solutions.
This Special Issue will focus on LLM-centered approaches to smart healthcare, emphasizing methods, systems, and infrastructures that translate or promise to translate recent advances into practical medical applications. At the same time, contributions based on other AI and ML approaches are also welcome. We invite submissions addressing novel architectures, training and adaptation strategies, multimodal integration, clinical decision support, patient-facing systems, and human-in-the-loop designs. In addition to foundational research, papers presenting novel applications, system deployments, and practical experience from real-world uses of novel AI approaches are encouraged. Particular attention will be given to safety, interpretability, robustness, ethical use, and regulatory alignment, which are essential in medical deployment.
This Special Issue will present state-of-the-art research and validated systems demonstrating how LLMs, together with broader AI and ML techniques, can fundamentally improve diagnostics, treatment planning, healthcare workflows, and patient outcomes.
Prof. Dr. Matjaz Gams
Prof. Dr. Franz Wotawa
Guest Editors
Manuscript Submission Information
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Keywords
- large language models in healthcare
- artificial intelligence in medicine
- machine learning for smart healthcare
- clinical decision support systems
- multimodal medical data integration
- intelligent healthcare systems
- human-in-the-loop medical AI
- explainable and trustworthy AI
- digital health infrastructure
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