Navigating Critical Care with Machine Learning: Advances in Personalized Emergency Department Practices
A special issue of Journal of Personalized Medicine (ISSN 2075-4426). This special issue belongs to the section "Methodology, Drug and Device Discovery".
Deadline for manuscript submissions: 31 March 2026 | Viewed by 12
Special Issue Editor
2. Departmental Faculty of Medicine, St. Camillus University of Medicine and Health Sciences, 00131 Rome, Italy
Interests: internal medicine; acute complex patients management; emergencies
Special Issue Information
Dear Colleagues,
Machine learning (ML) is revolutionizing critical care by enabling personalized and data-driven decision-making in emergency departments (EDs). By analyzing vast amounts of patient data, ML algorithms can predict disease progression, identify high-risk patients, and optimize treatment plans in real time. These advancements enhance diagnostic accuracy, reduce response times, and improve patient outcomes. Key applications include early detection of sepsis, stroke, and cardiac events, as well as resource allocation and workflow optimization. However, challenges such as data privacy, model interpretability, and integration into clinical workflows remain. As ML continues to evolve, its potential to transform ED practices into more efficient, patient-centered systems is immense, paving the way for a new era of precision emergency medicine.
This Special Issue aims to explore the cutting-edge applications of machine learning (ML) in critical care in the emergency department (ED) and demonstrate its potential and challenges in personalized medical practice. By bringing together the latest research results and clinical practice cases, this Special Issue is committed to promoting the deep integration of ML technology in emergency medicine, improving diagnostic efficiency, optimizing treatment plans, and improving patient prognosis. At the same time, this Special Issue will also explore key issues such as data privacy, model interpretability, and clinical implementation to provide directions for future research.
Dr. Filomena Pietrantonio
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. Journal of Personalized Medicine 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 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
- machine learning
- emergency department
- critical care
- personalized medicine
- predictive modeling
- real-time decision support
- clinical disease
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.
