Advances in AI-Powered Brain Screening and Clinical Neuroscience
A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "Machine Learning and Artificial Intelligence in Clinical Medicine".
Deadline for manuscript submissions: 20 April 2027 | Viewed by 41
Editor
Interests: neurosurgery; cerebral aneurysms; acute ischemic stroke; endovascular treatment
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Artificial intelligence is rapidly transforming brain screening and clinical neuroscience by enabling earlier detection, quantitative assessment, and individualized prediction of neurological diseases. With the global aging population and the increasing burden of stroke, dementia, cerebral small vessel disease, and other brain disorders, there is a growing need for scalable strategies that support prevention, early diagnosis, and timely intervention. MRI- and MRA-based brain screening programs, together with the expansion of clinical, cognitive, genetic, biomarker, and lifestyle datasets, provide valuable opportunities to identify asymptomatic or preclinical brain abnormalities before irreversible neurological damage occurs.
Recent advances in machine learning, deep learning, radiomics, multimodal data integration, foundation models, and explainable AI have created new possibilities for improving diagnostic accuracy, workflow efficiency, and clinical decision-making. However, several challenges remain, including heterogeneous imaging protocols, limited external validation, false-positive findings, lack of interpretability, data-sharing restrictions, and regulatory barriers. Therefore, this research area is highly timely and significant for both academic innovation and real-world implementation in preventive neurology, radiology, neurosurgery, and population health.
This Special Issue aims to present and disseminate the most recent advances related to AI-powered brain screening and clinical neuroscience. We consider contributions addressing AI-based detection, segmentation, classification, quantification, risk prediction, decision support, and clinical implementation for brain health evaluation and neurological disease prevention. Original research articles, reviews, and perspective papers are welcome.
Topics of interest for publication include, but are not limited to, the following:
- AI-assisted detection of unruptured intracranial aneurysms and cerebrovascular abnormalities;
- Automated quantification of white matter hyperintensities, cerebral small vessel disease, and brain atrophy;
- AI-based prediction of dementia, stroke, cognitive decline, and neurological outcomes;
- Longitudinal modeling of brain imaging changes in screening and clinical cohorts;
- Multimodal integration of MRI/MRA, clinical variables, cognitive data, biomarkers, genetics, and lifestyle factors;
- Explainable AI, uncertainty estimation, and clinically interpretable decision support;
- Real-world validation, external validation, and generalizability across institutions and populations;
- Workflow integration of AI in brain screening, radiology, neurosurgery, neurology, and preventive medicine.
Dr. Fusao Ikawa
Guest Editor
Manuscript Submission Information
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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-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Clinical Medicine 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
- brain screening
- small vessel disease
- unruptured cerebral aneurysm
- stroke
- dementia
- prevention
- clinical neuroscience
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