Cutting-Edge AI Techniques for Enhanced Biomedical Engineering Applications
A special issue of Bioengineering (ISSN 2306-5354). This special issue belongs to the section "Biosignal Processing".
Deadline for manuscript submissions: 30 November 2025 | Viewed by 3
Special Issue Editors
Interests: biological modelling; health informatics; cardiac modelling; gastroenterological modelling; medical devices; artificial intelligence applied to biomedical engineering
Interests: bioengineering; machine learning; artificial intelligence; biomedical imaging; intelligent and integrative medicine; computational radiology
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Artificial intelligence (AI) has profoundly transformed biomedical engineering, particularly through sophisticated and specialized techniques that enhance diagnostics, personalized treatment plans, medical device design, and biomedical data interpretation. This Special Issue aims to gather original research articles and comprehensive reviews that specifically focus on the latest, highly innovative AI methodologies and their targeted biomedical applications, addressing complex challenges that cannot be adequately tackled by conventional techniques.
Topics of particular interest include the following:
- Deep learning and generative AI techniques in precision medicine and patient-specific interventions;
- Advanced AI methodologies for medical imaging analysis, including segmentation, multimodal fusion, and predictive modelling;
- Novel AI-driven strategies in medical device innovation, design, optimization, and safety;
- AI-enhanced computational biology for high-throughput genomics and personalized gene therapy approaches;
- Innovative machine learning algorithms and computational frameworks specifically tailored for biomedical data analytics and predictive health informatics.
We encourage submissions exploring breakthrough concepts, advanced theoretical frameworks, and practical applications showcasing how state-of-the-art AI methodologies solve critical biomedical engineering problems.
We look forward to your valuable contributions.
Dr. Avinash Malik
Dr. Alan Wang
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
- deep learning
- generative AI
- machine learning
- precision medicine
- biomedical imaging
- medical devices
- gene therapy
- predictive modelling
- computational biology
- health informatics
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