Artificial Intelligence and Machine Learning: Cutting-Edge Applications in Biomedical Engineering
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E3: Mathematical Biology".
Deadline for manuscript submissions: 31 July 2026 | Viewed by 9
Special Issue Editors
Interests: video-based tracking; biomedical signal processing; virtual reality; augmented reality machine/deep learning; wearables; natural language processing
Special Issues, Collections and Topics in MDPI journals
Interests: virtual reality; computer vision; medical education and assessment; patient rehabilitation
Special Issues, Collections and Topics in MDPI journals
Interests: biometric system; cryptography; machine learning; deep learning; mathematical processing of medical signals and images; neuroscience
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Artificial intelligence (AI) and its different approaches, ranging from machine learning to deep learning, have become indispensable tools for new developments in medical signal and image processing and analysis. However, it is not only in this field where advances in AI have been made that affect the field of biomedical engineering. In this Special Issue, some important topics are covered, such as current challenges currently in the mathematical foundations of deep neural networks, problems derived from data processing, existing challenges related to clinical trials, smart hospitals, and ethical and procedural aspects.
Potential topics of interest include the following:
- Data science in biomedicine;
- Machine learning-based biosignal processing and analysis;
- Deep learning in biosignal processing and analysis;
- Machine learning-based medical image processing and analysis;
- Deep learning in medical image processing and analysis;
- Mathematical advances and practical applications of spiking neural networks;
- Challenges in clinical trial methodologies and evaluation;
- Challenges in models' benchmarking;
- Challenges in models' interpretability/explainability;
- Smart hospitals;
- Ethical considerations.
We invite researchers working in any of these areas to submit their recent research, which will undoubtedly be very valuable.
Dr. Ignacio Oropesa
Dr. Patricia Sánchez-González
Prof. Dr. Carmen Sánchez Ávila
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. Mathematics 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.
Keywords
- machine learning
- deep learning
- biomedical engineering
- biomedical signals
- medical imaging
- smart hospitals
- data science in healthcare
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
