Computer-Assisted Diagnosis and Management for Traumatic Brain Injury and Stroke
A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Machine Learning and Artificial Intelligence in Diagnostics".
Deadline for manuscript submissions: closed (31 August 2023) | Viewed by 265
Special Issue Editor
Interests: neurorehabilitation; prediction of recovery; mobility and balance function; stroke; traumatic brain injury; normal pressure hydrocephalus; spinal cord injury; neuroimaging; machine learning
Special Issue Information
Dear Colleagues,
Computer-assisted diagnosis and management for traumatic brain injury (TBI) and stroke refer to using computerized tools and algorithms to help healthcare professionals accurately diagnose and manage various stages of diagnosis, treatment, and rehabilitation after TBI and stroke.
Computer-assisted diagnosis can help to quickly and accurately diagnose the severity of the injury and to predict the long-term outcomes of TBI and stroke patients. In addition, computer-assisted management can help healthcare professionals to develop personalized treatment plans for TBI and stroke patients. This can include recommendations for the type of medical treatment and rehabilitation. In addition, computerized tools can be used to track a patient's progress and adjust treatment plans as needed.
The main objectives of this Special Issue are to provide computer-assisted diagnosis and management to improve the accuracy and efficiency of diagnosis and treatment for TBI and stroke patients, leading to better outcomes and quality of life.
The scope of the Special Issue includes, but is not be limited to, the following topics:
- CT and/or MRI scans using machine learning/artificial intelligence algorithms to predict the severity of the injury and the prognosis of TBI and stroke;
- Computer-aided detection of potential diagnostic biomarkers for TBI and stroke;
- Computerized clinical decision support program for diagnosis, medical treatment, and rehabilitation after TBI and stroke;
- The use of computer-assisted management in neurorehabilitation, including virtual reality, mixed reality, brain–machine interface, and robot-assisted devices, to improve mobility function, cognitive function, and swallowing function.
Dr. Eunhee Park
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. Diagnostics 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 2600 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.
