Artificial Intelligence: Advantages in Diagnostic Procedures
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Biomedical Engineering".
Deadline for manuscript submissions: 31 January 2026 | Viewed by 58
Special Issue Editors
Interests: ambient intelligence; signal processing; biomedical engineering; context-aware computing; bioinformatics and game development
Special Issues, Collections and Topics in MDPI journals
Interests: immunology; toxicology; data science; clinical diagnosis; biomedical engineering
Special Issue Information
Dear Colleagues,
Artificial intelligence is revolutionizing diagnostic procedures, enabling the production of faster, more accurate, and reproducible results across a wide range of medical fields. This Special Issue aims to highlight novel methodologies and AI applications in the diagnosis of complex, multifactorial diseases through advances in machine learning, deep learning, explainable AI, and GPT techniques. We welcome contributions that present innovations in clinical data analysis and discuss the integration of multimodal sources such as imaging, biosignals, genomics, and wearables to develop personalized diagnostics. This Special Issue emphasizes reproducibility, the ethical use of AI, and improvements in public health outcomes and seeks to explore new diagnostic frameworks, address current limitations in clinical practice, and propose cutting-edge solutions.
Dr. Carlos Eric Galván-Tejada
Dr. Irma Gonzalez-Curiel
Guest Editors
Manuscript Submission Information
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Keywords
- artificial intelligence
- diagnostic systems
- machine learning
- deep learning
- biomedical signal processing
- medical imaging
- bioinformatics
- multimodal diagnostics
- clinical decision support systems
- personalized medicine
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