Diabetes Management in the Hospital: Applications of Artificial Intelligence
A special issue of Diabetology (ISSN 2673-4540).
Deadline for manuscript submissions: 15 September 2025 | Viewed by 314
Special Issue Editors
Interests: inpatient diabetes; prediction and prevention of acute care use by people with diabetes; machine learning and informatics
Interests: clinical decision support systems; diabetes technology; diabetic foot ulcers; inpatient glucose management; machine learning; patient safety and quality; type 1 diabetes; type 2 diabetes mellitus
Special Issue Information
Dear Colleagues,
As Guest Editors of a Diabetology Special Issue, entitled “Diabetes Management in the Hospital: Applications of Artificial Intelligence”, we invite you to submit an original research article, systematic review, narrative review, or short communication on this topic. In this Special Issue, papers will present research using artificial intelligence/machine learning (AI/ML) approaches to investigate diabetes management within the hospital setting. Research areas may include (but are not limited to) the following:
- AI-based clinical decision support tools. Studies that evaluate the effectiveness and implementation of AI-driven tools to assist healthcare providers in making informed decisions regarding diabetes management during hospitalization.
- Predictive Analytics. Research employing AI/ML approaches to predict health outcomes relevant to acute care settings, such as inpatient mortality, hypoglycemia, hyperglycemia, and other complications related to diabetes.
- Patient Flow and Healthcare utilization. Investigations into how AI/ML can optimize patient flow, reduce healthcare utilization, and decrease readmission rates among patients with diabetes in healthcare settings.
- Personalized Treatment Plans: Studies focusing on the development of AI algorithms that created personalized treatment plans based on individual patient data, improving glycemic control and overall health outcomes during hospitalization.
- Integration of Wearable Technology. Research examining how AI can utilize data from wearable devices (CGMs, automated insulin delivery systems) to monitor and manage diabetes in real time, enhancing patient safety and treatment efficacy in acute care environments.
- Ethical Considerations and Implementation Challenges. Research discussing the ethical implications and challenges associated with implementing AI/ML technologies in diabetes management, including patient privacy, data security, and the need for clinical training.
Diabetology (ISSN 2673-4540) is an international, open access journal. The official deadline for paper submission is 15 September 2025, and the instructions on how to proceed with writing will be available on a dedicated web page.
Dr. Daniel J. Rubin
Dr. Nestoras Mathioudakis
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. Diabetology 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 1200 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
- machine learning
- diabetes
- inpatient management
- clinical decision support
- risk prediction
- glucose
- predictive analytics
- insulin
- hospital
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