Artificial Intelligence in Healthcare and Neural Engineering

Dear Colleagues,

With the rapid development of computer and imaging technologies, a huge amount of neural information has been continually produced worldwide and provides rich resources for the exploration of various applications. By exploiting these big and complex data, artificial intelligence and machine learning techniques have attracted increasing interest from researchers in the fields of healthcare and neural engineering. The rich clinical neural data, including electrophysiological signals, neural imaging, etc., is motivating the development and application of advanced neural information processing and machine learning methods for precision medicine, computer-aided diagnosis and prognosis, brain–computer interface, neural system rehabilitation, and other relevant applications in the fields of healthcare and neural engineering. Exploring new theories and applications from the perspective of artificial intelligence and machine learning will significantly promote the development of neural engineering and personalized medicine.

This Special Issue focuses on recent advances in neural information processing and machine learning techniques for healthcare and neural engineering. For this purpose, we invite researchers to contribute original research papers dedicated to developing advanced pattern recognition, machine learning, and computational neuroscience methods for healthcare applications, including computer-aided diagnosis and prognosis, neural system rehabilitation, brain–computer interface, and so on. Potential Topics include but are not limited to the following:

• Neuroimaging data analysis for healthcare engineering
• Multi-dimensional optimization of neural features
• Deep learning for neural information processing
• Methods and applications of brain-computer interface
• Multimodal brain imaging fusion
• Brain connectivity modeling and analysis
• Multimodal human-computer interaction
• Brain functional and structural disease diagnosis
• Neural computing-based treatment outcome prediction
• Neural systems and rehabilitation engineering

Dr. Yu Zhang
Dr. Tao Zhou
Dr. Islem Rekik
Dr. Kim-Han Thung
Guest Editors

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. 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 1600 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.

• Neuroimaging analysis
• Brain-computer interface
• Multi-modality fusion
• Deep learning
• Human-computer interface
• Bioinformatics
• Computer-aided disease diagnosis
• Neural engineering