Artificial Intelligence and Computer Vision in Neurological Disorders
A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Machine Learning and Artificial Intelligence in Diagnostics".
Deadline for manuscript submissions: 30 November 2025
Special Issue Editor
Interests: computer vision; machine learning; artificial intelligence; medical imaging; edge computing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Neurological disorders, including Alzheimer's disease, Parkinson’s disease, epilepsy, stroke, and multiple sclerosis, present significant challenges in early diagnosis, monitoring, and treatment. Recent advancements in artificial intelligence (AI), machine learning (ML), and computer vision have revolutionized medical imaging and diagnostic methodologies, offering more accurate, efficient, and automated solutions.
This Special Issue aims to explore cutting-edge AI-driven techniques in neurological diagnostics, focusing on deep learning, medical image analysis, and intelligent decision-making systems. AI models are increasingly applied to MRI, CT scans, PET, and EEG data, improving early detection, disease progression analysis, and personalized treatment planning. Computer vision enables automated segmentation, classification, and anomaly detection in brain imaging, facilitating more precise and objective assessments. Additionally, image processing techniques enhance feature extraction and pattern recognition, contributing to improved diagnostic accuracy.
We invite researchers and clinicians to contribute original studies and reviews on computer vision, machine learning and AI applications in neurological disorders. Topics of interest include, but are not limited to, deep learning-based medical imaging, AI-assisted neuroimaging biomarkers, predictive analytics for disease progression, and real-time AI-based diagnostic tools. This Special Issue will provide a platform for advancing AI-driven innovations in neurology, ultimately enhancing patient care and clinical outcomes.
Dr. Deepak Ghimire
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Diagnostics is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- • artificial intelligence in neurology
- • machine learning in medical imaging
- • deep learning for neuroimaging
- • predictive analytics in neurology
- • brain disease classification
- • real-time AI diagnostics
- • computer vision in healthcare
- • AI-assisted diagnosis
- • neurological disorder detection
- • medical image analysis.
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue policies can be found here.
