Intelligent Computer-Aided Designs for Biomedical Applications
A special issue of Bioengineering (ISSN 2306-5354). This special issue belongs to the section "Biosignal Processing".
Deadline for manuscript submissions: 25 January 2025 | Viewed by 4651
Special Issue Editors
Interests: biomedical signal processing; artificial intelligence (AI); data mining; detection of neurological diseases from EEGs; brain–computer interface (BCI)
Special Issues, Collections and Topics in MDPI journals
Interests: big data analysis; data mining; signal processing; statistical modelling; AI and machine learning applications
Interests: EEG signal processing; data mining; detection of brain disorders from EEGs; brain–computer interface (BCI); AI
Special Issue Information
Dear Colleagues,
With the rapid development of technology, computer-aided diagnosis (CAD) has made significant advances in recent years. This technology performs clinical diagnoses and provides treatment recommendations. To increase the effectiveness of treatments, reduce the risk of false diagnoses, select appropriate courses of treatment, and predict the outcomes of many clinical scenarios, modern health research must take on the challenge of acquiring, analyzing, and applying vast amounts of biomedical data (such as signal data, image data, etc.). This Special Issue is intended to serve as a platform for the publication of articles that address significant issues related to both theoretical and practical CAD in biomedical applications.
Topics of interest for submissions to this Special Issue include, but are not limited to, the following:
- Computer-aided diagnostic systems for identifying neurological diseases and disorders;
- Biomedical signal and image processing and analysis;
- Intelligent systems for mental disorder detection;
- Medical data mining;
- Artificial intelligence techniques for biomedical data analysis;
- Health data modelling;
- Knowledge engineering in medical data-driven research;
- Applications of machine learning techniques and deep learning in biomedical engineering;
- Pattern recognition;
- Medical data capture;
- Applications of neural networks in biomedicine;
- Applications of AI methods to the brain–computer interface.
Dr. Siuly Siuly
Dr. Enamul Kabir
Dr. Smith Kashiram Khare
Dr. Muhammad Tariq Sadiq
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. Bioengineering is an international peer-reviewed open access monthly 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 2700 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.
Keywords
- computer-aided diagnostic systems
- biomedical signal and image processing
- medical data mining
- artificial intelligence techniques for biomedical applications
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