Machine Learning in Healthcare Applications
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Artificial Intelligence".
Deadline for manuscript submissions: 15 January 2026 | Viewed by 14
Special Issue Editor
Special Issue Information
Dear Colleagues,
The rapid development of machine learning (ML) and artificial intelligence (AI) technologies has significantly transformed the healthcare industry, offering promising solutions in disease diagnosis, treatment prediction, patient risk assessment, and personalized medicine. Integrating advanced ML models into clinical workflows has the potential to enhance healthcare outcomes, reduce costs, and support data-driven decision-making.
This Special Issue aims to highlight recent advances and practical applications of ML in healthcare. It seeks to provide a comprehensive platform for sharing original research and review articles that explore novel methodologies, address real-world challenges, and demonstrate impactful case studies in healthcare settings.
Aligned with the scope of Electronics, this Special Issue will focus on interdisciplinary approaches combining computer science, engineering, and healthcare technology.
For this Special Issue, original research articles and reviews are welcome. Research areas may include, but are not limited to, the following:
- Deep learning applications in medical imaging and diagnostics;
- Predictive modeling and disease progression forecasting;
- Natural language processing for clinical notes and EHR;
- Graph-based ML approaches for patient outcome prediction;
- Fairness, bias mitigation, and interpretability in ML models;
- Privacy-preserving ML and federated learning in healthcare;
- Real-time and embedded ML systems in medical devices.
We look forward to receiving your contributions.
Dr. Haohui Lu
Guest Editor
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Keywords
- machine learning
- healthcare applications
- deep learning
- predictive modeling
- electronic health records
- interpretability
- bias mitigation
- graph neural networks
- natural language processing
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