Applied Artificial Intelligence in Stroke Imaging

Dear Colleagues,

Artificial intelligence (AI) technology is a rapidly emerging field, especially in medical imaging. The need for the development and validation of AI algorithms in stroke imaging is even essential since prompt identification leads to intervention critical to reduced post-stroke mortality and morbidity. Current protocols are time-limited, and successful interventions can be marred by obstacles presented from variability in the level of human expertise across hospitals.

For this Special Issue, titled “Applied Artificial Intelligence in Stroke Imaging”, we would like to invite authors across various clinical specialties to submit their original papers or review articles on specific and novel approaches to applying AI techniques in stroke imaging.

This issue will focus on the advances and innovations in AI that enhance stroke image segmentation, automatic classification and the diagnosis of stroke site, size or severity, allowing for a better process in triaging and treatment selection that could ultimately lead to better neurological outcomes.

Articles on innovative AI-driven applications or platforms for acute stroke triage, monitoring or prognostication for either both ischemic or hemorrhagic types are welcome for submission.

This issue will also be open to articles focusing on applying biomarkers obtained from stroke images to identify new disease mechanisms and understand complex neural connections, which would allow AI to forecast post-stroke outcomes using sophisticated deep learning methods. 

Dr. Sun Im
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. Applied Sciences 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 2400 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
• stroke
• neuroimaging
• prognostication
• algorithms
• deep learning
• convolutional neural network
• artificial intelligence
• artificial neural network
• support vector machine