AI for Medical Systems: Algorithms, Applications, and Challenges
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 20 June 2026
Special Issue Editors
Interests: biomedical engineering; artificial intelligence in data mining and machine learning; telemedicine
Interests: artificial intelligence in dentistry; machine learning in medical diagnostics; biomedical data processing; clinical decision support systems; telemedicine and digital health
Special Issue Information
Dear Colleagues,
Recent advances in artificial intelligence (AI) are rapidly transforming modern medical systems, reshaping clinical workflows, diagnostics, prognostics, personalized therapies, and remote healthcare. The integration of machine learning, deep learning, data mining, and multimodal data analysis enables the creation of intelligent medical support tools that enhance decision-making, improve treatment accuracy, and increase patient safety. At the same time, AI-based systems face multiple scientific and practical challenges, including data quality, model interpretability, real-world integration, ethical considerations, cybersecurity risks, and regulatory issues.
This Special Issue aims to gather high-quality research contributions focusing on the development, validation, and clinical implementation of AI algorithms in medicine. We welcome submissions addressing breakthrough computational methods, novel applications of AI in medical diagnostics and therapeutics, telemedicine-based solutions, bio-signal and imaging analysis, explainable AI, and multidisciplinary approaches linking engineering and healthcare. Both original research articles and comprehensive reviews are encouraged. The goal of this Special Issue is to promote cross-institutional cooperation and highlight emerging trends that will define the future of intelligent medical systems.
Dr. Rafał J. Doniec
Dr. Katarzyna Mocny-Pachońska
Guest Editors
Manuscript Submission Information
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Keywords
- AI in healthcare
- medical data mining
- machine learning and deep learning
- biomedical signal and image analysis
- intelligent diagnostics
- telemedicine and remote monitoring
- clinical decision support systems
- explainable AI (XAI)
- multimodal medical data
- medical system optimization
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