AI-Driven Healthcare Insights
A special issue of Healthcare (ISSN 2227-9032). This special issue belongs to the section "Artificial Intelligence in Healthcare".
Deadline for manuscript submissions: 12 September 2026 | Viewed by 19
Special Issue Editors
Interests: AI; data analytics; quantitative methods; data modeling; quality control; service quality
Special Issues, Collections and Topics in MDPI journals
Interests: agile project management; healthcare operations; quality management; sustainable supply chain management; technology management
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Current research typically focuses on theory-driven studies. However, it is equally critical that we leverage artificial intelligence and machine learning to extract meaningful insights from healthcare data in ways that transform our understanding of complex medical phenomena. The rapid advancement of AI technologies provides unprecedented opportunities to analyze vast healthcare datasets, uncover hidden patterns, and generate actionable insights that were impossible to detect through traditional analytical approaches. This Special Issue will showcase how AI-driven discovery provides transformative insights and creates new pathways for advancing healthcare practice and delivery. We are pleased to invite you to submit your AI-driven healthcare investigations using a variety of artificial intelligence and machine learning methods, including, but not limited to, natural language processing of clinical notes, deep learning analysis of medical imaging, predictive modeling using electronic health records, and other innovative AI applications for extracting insights from healthcare data. This Special Issue is also open to comprehensive review articles that examine how AI methodologies can unlock the potential of healthcare datasets to develop new research paradigms. This Special Issue aims to demonstrate how AI-powered data exploration can lead to breakthrough discoveries that extend our understanding of current theory and practice in healthcare. We particularly encourage submissions that showcase novel AI and machine learning approaches, including but not limited to deep learning, neural networks, ensemble methods, and emerging AI technologies that offer new perspectives on healthcare challenges. Themes and article types include the application of AI and machine learning methods to healthcare datasets to discover complex relationships among variables and generate actionable insights for healthcare researchers and practitioners. Additionally, review articles that examine how AI-driven approaches create value by directing future research directions and identifying novel research questions are strongly welcomed. We look forward to receiving your contributions.
Dr. Victor R. Prybutok
Dr. Xianghui (Richard) Peng
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. Healthcare 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 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
- AI-driven health insights
- AI data mining
- AI healthcare analytics
- health informatics
- AI-driven patient insights
- AI healthcare modeling
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