Deep Learning Applied in Neurodegenerative Disease

Dear Colleagues, 

In recent years, we have experienced an exponential growth of artificial-intelligence-based applications in many diagnostic fields. In particular, several deep-learning-based algorithms have been refined to extract patterns in high-dimensional clinical and diagnostic imaging datasets, study the relationships between numerous variables, and identify robust biomarkers for a rising number of brain diseases. These techniques have proved particularly effective for studying neurodegenerative diseases, showing promise for early diagnosis, personalized staging, and the development of new therapeutic approaches. However, the successful application of these algorithms in the diagnostic domain requires addressing several issues, such as the integration and harmonization of high-dimensional datasets, the robust validation of the performance of algorithms, the generalization of techniques developed using different datasets, and the clinical interpretability of decisions made by algorithms. In this Special Issue, we will collect recent advances based on machine learning and deep learning techniques for the diagnosis of neurodegenerative diseases with imaging, genetic, and clinical data. We encourage work and techniques that aim to strengthen the use of algorithms in diagnostic practice.

Potential topics include but are not limited to the following:

• Machine learning/deep learning algorithms for classification and diagnosis of neurodegenerative diseases;
• Machine learning/deep learning models for subtyping neurodegenerative diseases;
• Harmonization techniques for machine/deep learning;
• Feature selection;
• Multimodal data integration for machine/deep learning models;
• Explainability of machine/deep learning models;
• Transfer learning on large datasets;
• Performance optimization.

Dr. Angela Lombardi
Dr. Domenico Diacono
Guest Editors

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• diagnosis
• machine learning
• deep learning
• medical imaging
• genetics
• explainability
• Alzheimer’s disease
• mild cognitive impairment (MCI)
• neurodegenerative diseases