AI and Data Analysis in Neurological Disease Management
A special issue of Bioengineering (ISSN 2306-5354). This special issue belongs to the section "Biosignal Processing".
Deadline for manuscript submissions: 31 August 2026 | Viewed by 16
Special Issue Editors
Interests: bioinformatics; data science; machine learning; deep learning; medical informatics; cancer genomics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue aims to explore the transformative role of artificial intelligence (AI) and data analysis in the management of neurological diseases. We seek to highlight cutting-edge research that demonstrates how AI technologies can enhance diagnosis, treatment, and patient outcomes in various neurological conditions, such as Alzheimer's disease and Parkinson's disease.
Key objectives include the following:
- Innovative Applications: Showcasing novel AI methodologies and tools that improve data interpretation and decision-making in clinical settings.
- Interdisciplinary Approaches: Encouraging collaboration between neurologists, data scientists, and AI researchers to foster integrated solutions.
- Real-World Impact: Evaluating the effectiveness of AI-driven strategies in real-world clinical environments and their potential to reshape traditional practices.
- Ethical Considerations: Addressing ethical implications and challenges of implementing AI in healthcare, ensuring patient safety and data privacy.
By bringing together diverse perspectives and research findings, this issue aims to contribute to the advancement of neurological disease management through AI and data analytics.
Dr. Ka-Chun Wong
Dr. Bess Lam
Guest Editors
Manuscript Submission Information
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Keywords
- AI technologies
- management of neurological diseases
- interdisciplinary approaches
- data analysis
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