Machine Learning and Artificial Intelligence for Biomedical Applications, 4th Edition
A special issue of Bioengineering (ISSN 2306-5354). This special issue belongs to the section "Biosignal Processing".
Deadline for manuscript submissions: 31 August 2026 | Viewed by 826
Special Issue Editors
Interests: bioinformatics; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Interests: game theory and applications; finance; neural networks and applications; time-series models; behavioral finance; sustainability; multicriteria decision making; differential geometry; health economics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In recent years, an increase in the accuracy of information technology has led to several scientific breakthroughs. The first researchers to benefit from improved hardware components have been the developers of artificial intelligence algorithms, who have been able to apply these algorithms in several scientific fields, including biomedicine. Biomedicine is a field of medicine that applies the principles of biology and natural sciences to the development of relevant technologies for healthcare. The combination of artificial intelligence algorithms and biomedicine has led to many applications, such as image analysis of human organs using magnetic resonance imaging (MRI); DNA/RNA sequencing and protein structure interactions and predictions; and analysis of different biosignals via methods involving electroencephalograms (EEGs), electromyography (EMGs), and electrocardiograms (ECGs).
In this context, machine learning algorithms enable us to learn from observational data and construct highly accurate artificial intelligence models to support the physician. However, obtaining models with high accuracy may not be enough, as AI-based biomedical decisions must be understandable to the physician. Therefore, it is necessary to equip machine learning methods with explainability capacity, leading to explainable artificial intelligence techniques that enable the physician to understand the decisions suggested by the models they use.
This is the fourth volume of our Special Issue series "Machine Learning and Artificial Intelligence for Biomedical Applications". Please feel free to download and read the first three volumes via the following links:
https://www.mdpi.com/journal/bioengineering/special_issues/39708P1H4A
https://www.mdpi.com/journal/bioengineering/special_issues/483SCWZ885
https://www.mdpi.com/journal/bioengineering/special_issues/3182T0HN52
Dr. Crescenzio Gallo
Prof. Dr. Luca Grilli
Guest Editors
Manuscript Submission Information
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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.
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Keywords
- artificial intelligence models
- biomedicine
- machine learning methods
- artificial neural networks
- precision medicine
- personalized health care
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