Advancing Smart Health and Biomedical Research with Artificial Intelligence Algorithms
A special issue of Algorithms (ISSN 1999-4893). This special issue belongs to the section "Algorithms and Mathematical Models for Computer-Assisted Diagnostic Systems".
Deadline for manuscript submissions: 31 December 2024 | Viewed by 421
Special Issue Editors
Interests: machine learning; artificial intelligence; image processing; Internet of Things (IoT)
Special Issues, Collections and Topics in MDPI journals
Interests: artificial intelligence; machine learning; image processing; Internet of Things; robotics
Special Issue Information
Dear Colleagues,
The medical field is experiencing notable progress by integrating advanced technologies designed to provide optimal solutions for supporting medical professionals in smart health and biomedical research. As an example, radiology has observed the most applications of patented and FDA-approved artificial intelligence (AI)-based devices. This Special Issue encourages researchers to extend the potential of AI to diverse medical disciplines. Whether for medical diagnosis or drug development, the recent advances in technologies such as artificial intelligence (AI), machine learning (ML), deep learning (DL), and data sciences can advance research across the spectrum of smart health and biomedical research. This Special Issue aims to inspire researchers to explore the development of new AI algorithms or enhance existing AI-based algorithms in smart health and biomedical research. The research articles contributed to this issue are anticipated to lay the groundwork for developing patented devices with promising applications in the medical field.
Recent breakthroughs in machine learning (ML), artificial intelligence (AI), deep learning, and high performance coupled with the availability of new datasets have made advancements in smart health and biomedical research possible. Documented in the Summary of the Big Data and High-End Computing Interagency Working Groups Joint Workshop on the Convergence of High-Performance Computing, Big Data, and Machine Learning, these developments pave the way for unprecedented progress in medical research. Development or enhancement of algorithms concurrently address various aspects of human biology, physiology, and behavior, thereby enabling the creation of personalized, predictive models.
Dr. Jaafar Alghazo
Dr. Ghazanfar Latif
Dr. Elena Tanfani
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. Algorithms 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 1600 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
- AI algorithms in healthcare
- AI algorithms in biomedical research
- medical diagnostics
- smart healthcare
- ML and big data
- sensor technologies
- privacy in healthcare
- AI-enabled medical imaging
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.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue polices can be found here.
