New Trends in Medical Signal Processing, Computer Vision, and Multimodal AI for Healthcare
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E3: Mathematical Biology".
Deadline for manuscript submissions: 31 December 2026 | Viewed by 63
Special Issue Editor
Interests: medical image analysis; biomedical signal and image acquisition and processing; artificial intelligence
Special Issue Information
Dear Colleagues,
Recent advances in sensing technologies, medical imaging systems, and digital health platforms have significantly increased the volume and diversity of healthcare data. Continuous physiological monitoring, wearable devices, and clinical imaging modalities such as MRI, CT, ultrasound, endoscopy, and optical coherence tomography provide rich multimodal information for understanding disease progression and supporting clinical decision-making. At the same time, rapid developments in artificial intelligence, particularly in medical signal processing and computer vision, are enabling more effective analysis of these complex healthcare data.
However, translating these advances into routine clinical practice remains challenging. Healthcare data are often heterogeneous across devices, institutions, and patient populations, requiring models that are robust, interpretable, and efficient. In addition, clinical deployment demands reliable algorithms capable of integrating multimodal data while providing trustworthy and well-calibrated predictions.
We are pleased to invite you to contribute to this Special Issue entitled “New Trends in Medical Signal Processing, Computer Vision, and Multimodal AI for Healthcare.” This Special Issue aims to highlight recent advances in medical signal processing, medical computer vision, and multimodal learning for healthcare. Particular emphasis will be placed on emerging research directions such as data-centric methodologies, foundation models, self-supervised learning, multimodal fusion, and efficient deployment of AI systems in clinical and wearable environments.
Original research articles and review papers are welcome. Topics of interest include, but are not limited to, the following: medical signal processing and physiological time-series analysis; medical image and video analysis; multimodal learning and fusion for healthcare data; foundation models and self-supervised learning in medical AI; robustness, generalization, and uncertainty-aware modeling; explainable and trustworthy medical AI; efficient AI inference and deployment in clinical and wearable systems; and clinically validated translational studies.
We look forward to receiving your valuable contributions.
Prof. Dr. Guannan Chen
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 250 words) can be sent to the Editorial Office for assessment.
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
- medical signal processing
- medical computer vision
- multimodal learning
- foundation models in healthcare
- medical image and video analysis
- explainable AI
- robust and trustworthy medical AI
- clinical AI deployment
- time-series representation learning
- data-centric AI for 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.
