Leveraging AI Algorithms to Enhance Healthcare Systems
A special issue of Systems (ISSN 2079-8954).
Deadline for manuscript submissions: 10 July 2026 | Viewed by 3
Special Issue Editors
Interests: digital technologies; healthcare data management
Interests: innovation; hybrid education; healthcare; active methodologies; digital transformation; distance education; digital education; higher education; inclusion
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue, titled “Leveraging AI Algorithms to Enhance Healthcare Systems”, will offer a comprehensive exploration of the transformative impact of artificial intelligence on modern medicine and healthcare delivery. It aims to bridge the gap between theoretical AI concepts and practical clinical applications, presenting a vital resource for a multidisciplinary audience. Its chapters will delve into the core AI and machine learning methodologies—from neural networks to natural language processing—that are revolutionizing medical diagnostics, predictive modeling for disease outbreaks, and the development of personalized treatment protocols.
Key sections will scrutinize the role of AI in interpreting complex medical imaging, accelerating drug discovery pipelines, and optimizing hospital operational workflows for enhanced efficiency and patient outcomes. Furthermore, this Special Issue will address the critical ethical, regulatory, and data privacy challenges inherent in integrating AI into clinical practice. By providing in-depth case studies and forward-looking perspectives, this issue aims to equip researchers, clinicians, data scientists, and healthcare administrators with the knowledge required to navigate and harness the power of AI, ultimately fostering a new era of data-driven, patient-centric healthcare.
Dr. Antonio Pesqueira
Dr. Andreia De Bem Machado
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. Systems 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 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
- artificial intelligence
- healthcare systems
- machine learning
- medical diagnostics
- digital health
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.
