Special Issue "Advancements in Artificial Intelligence for Neurodegenerative Diseases Assessment"
A special issue of AI (ISSN 2673-2688).
Deadline for manuscript submissions: 30 November 2020.
Interests: machine learning; deep learning; pattern recognition; computer vision; health informatics; biometrics
Special Issues and Collections in MDPI journals
Interests: Machine Learning; Pattern Recognition; Neuroscience; Complex Networks; Brain Connectivity
Interests: e-Health; explainable artificial intelligence; Parkinson Disease; Machine Learning; evolutionary computation; neurocomputational models and pattern recognition
Artificial intelligence and machine learning can change the way we think of health care from many perspectives. One application, in particular, concerns developing computer-aided diagnosis systems to provide clinicians with novel non-invasive and low-cost support tools. These systems can have a crucial role, especially if we consider degenerative brain disorders, such as Parkinson’s disease and Alzheimer’s disease, which represent a really growing health problem. At the early stages of these diseases, the patient may be characterised by minimal changes, not enough to meet the standard criteria for a specific pathology. Predictive models come in handy as they can detect subtle but meaningful patterns, which may be overlooked by the human expert.
Significant advancements in this context have been obtained, in the last years, in neuroimaging, particularly functional magnetic resonance imaging and diffusion weighted imaging. More recently, a growing research interest has arisen towards the application of behavioural biometric traits. Examples include handwriting, speech and gait. The aim of this Special Issue is to bring together researchers from neuroscience and biometrics, improving the relationship between these two research communities. This Special Issue calls for original manuscripts proposing artificial intelligence and machine learning methods, based on neuroimaging as well as biometric traits, for neurodegenerative diseases assessment. Therefore, research proposing multimodal approaches, exploring data of diverse nature, is especially welcome.
Dr. Gennaro Vessio
Dr. Eufemia Lella
Dr. Rosa Senatore
Manuscript Submission Information
Manuscripts should be submitted online at www.ynsqex.icu 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 papers will be 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. AI is an international peer-reviewed open access quarterly 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 1000 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.
- Machine learning
- Deep learning
- Computer-aided diagnosis
- Handwriting analysis
- Speech analysis
- Gait analysis
- Multimodal approaches