Current Trends and Future Challenges in Precision Neuroimaging
A special issue of Journal of Personalized Medicine (ISSN 2075-4426). This special issue belongs to the section "Diagnostics in Personalized Medicine".
Deadline for manuscript submissions: 30 November 2026 | Viewed by 128
Special Issue Editors
Interests: neuroimaging, ischemic and hemorrhagic stroke; metastasis and brain tumors; multiple sclerosis; interventional neuroradiology; head and neck imaging; magnetic resonance; computed tomography
Special Issues, Collections and Topics in MDPI journals
Interests: neurooncology; metastasis and brain tumors; translational medicine
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Neuroimaging has rapidly evolved in recent years, driven by technological advances and the growing need for more precise diagnosis and treatment monitoring in neurological diseases. Current trends emphasize the shift from purely anatomical imaging toward functional, metabolic, and quantitative techniques. Advanced MRI methods—such as diffusion tensor imaging (DTI), functional MRI (fMRI), perfusion imaging, and magnetic resonance spectroscopy—are increasingly integrated into clinical practice to better characterize brain structure, connectivity, and physiology. In parallel, molecular imaging, particularly PET with disease-specific tracers, is expanding our ability to visualize metabolic pathways and molecular targets in vivo, leading to personalized treatment in many pathologies.
Another major trend is the integration of artificial intelligence (AI) and radiomics into neuroimaging. Machine learning algorithms enable automated image analysis, lesion segmentation, outcome prediction, and treatment response assessment. Radiomic approaches extract high-dimensional quantitative features from imaging data, supporting personalized medicine and more accurate prognostic stratification.
Despite these advances, several challenges remain. Standardization of imaging protocols across centers, data reproducibility, and validation of AI models in large, multicenter cohorts are critical issues. Additionally, the integration of multimodal imaging data with clinical and molecular information requires robust computational frameworks and interdisciplinary collaboration. Addressing these challenges will be essential to fully realize the potential of neuroimaging as a tool for precision medicine in the future.
We welcome the submission of original research articles and reviews that address these emerging trends, methodological advances, clinical applications, or challenges in neuroimaging.
Dr. Chiara Gaudino
Dr. Stefania Elena Navone
Guest Editors
Manuscript Submission Information
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Keywords
- neuro-oncology
- neurodegenerative disorders
- ischemic and hemorrhagic stroke
- head and neck pathologies
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