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Application of Decision Support Systems in Biomedical Engineering: 2nd Edition

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Biomedical Engineering".

Deadline for manuscript submissions: 20 April 2026 | Viewed by 10

Special Issue Editor


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Guest Editor
Department of Electrics and Information Engineering, Politecnico di Bari, 70125 Bari, Italy
Interests: computer aided detection and diagnosis systems for biomedical signals; monitoring systems for health-care; analysis and synthesis of digital electronic systems
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In the framework of healthcare facilities, the decision-making phase is commonplace and is of particular relevance to achieve results responding to expectations. The fusion of technology and medical science has enabled the development of decision support systems (DSSs) that are able to make good decisions in extremely complex and difficult medical diagnosis cases. Two different application contexts of DSSs can be configured, including the expert knowledge provider context and the end user context. For example, a DSS could assist clinicians in solving diagnostic and therapeutic problems by making use of patient-related parameters as inputs which have to be combined with models and algorithms. The choice/adoption of a particular DSS depends on several criteria such as the complexity of the problem, the simplicity of the approach, the typology of data available, the expertise of the decision-makers, and so on. A suitable and appropriate DSS has to be user-friendly and accurate.

This Special Issue addresses the most recent applications of decision support systems in biomedical engineering in the expert knowledge provider context and the end user context. Original high-quality papers and review articles are welcome and incentivized. In particular, topics of interest for this Special Issue include, but are not limited to, the following:

  • Decision support systems for biomedical systems;
  • Methods for the classification of biosignals;
  • Biosignal/bioimage feature extraction;
  • Algorithms to improve the quality of biosignals;
  • Artificial intelligence tools for biosignal/bioimage analysis;
  • Clinical decision support system;
  • Medical healthcare systems.

Dr. Maria Rizzi
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 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. Applied Sciences 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 2400 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

  • advanced healthcare methods
  • biomedical image analysis
  • computer-aided detection systems
  • computer-aided diagnosis systems
  • monitoring systems

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Published Papers

This special issue is now open for submission.
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