Innovative Applications of AI, Machine Learning, IoT, and Assistive Robots in Health Monitoring and Care
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 22 November 2025 | Viewed by 63
Special Issue Editors
Interests: operational research; machine learning; data science
Special Issues, Collections and Topics in MDPI journals
Interests: computer vision; human–computer interaction; human–machine cooperation; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Interests: machine learning; human activity recognition; Internet of Things; fuzzy logic; sensor fusion
Interests: smart environments; ambient intelligence; Internet of Things (IoT); E-Health; activity recognition; machine learning; human-centered computing; assistive technologies
Special Issue Information
Dear Colleagues,
Rapid advancements in artificial intelligence (AI), machine learning (ML), data science, the Internet of Things (IoT), and assistive robotics are revolutionizing the healthcare sector. These technologies are pivotal in addressing the pressing healthcare challenges posed by an aging population, the prevalence of chronic conditions, and the need for personalized, efficient, and accessible care. This Special Issue aims at exploring the transformative potential of these technologies in health monitoring and care.
We invite original research articles, reviews, and case studies that focus on, but are not limited to, the following topics:
1. AI and ML in Health Monitoring:- Development and application of AI models for real-time health monitoring and the early detection of health deterioration.
- Machine learning algorithms for predictive analytics in healthcare.
- AI-driven personalized care plans and interventions.
- Integration of IoT devices for continuous health monitoring.
- IoT-based systems for remote patient monitoring and management.
- Security and privacy issues in IoT healthcare applications.
3. Data Science in Health:
- Big data analytics for healthcare insights and decision-making.
- Data integration and interoperability in health information systems.
- Data-driven approaches to improve patient outcomes and healthcare efficiency.
- Development and evaluation of wearable health devices.
- Assistive robots for enhancing patient care and autonomy.
- User-centered design and usability studies of health technologies.
5. Assistive Robots in Healthcare:
- Design and implementation of assistive robots for patient support and care.
- Human–robot interaction and its impact on patient well-being.
- Case studies on the deployment of assistive robots in clinical and home settings.
6. Interdisciplinary Approaches:
- Collaborative frameworks for integrating technology in healthcare.
- Ethical, legal, and social implications of AI, IoT, and robotics in health.
- Case studies and pilot projects demonstrating successful implementations.
Authors are invited to submit manuscripts that make significant contributions to the field. All submissions will undergo a rigorous peer-review process to ensure the highest quality of research. Manuscripts should be prepared according to the journal's guidelines and submitted through the journal's online submission system.
We look forward to your contributions to this Special Issue, which aims at showcasing the latest innovations and research in the application of AI, ML, IoT, and assistive robots in health monitoring and care.
Prof. Dr. Pedro J. S. Cardoso
Prof. Dr. João M. F. Rodrigues
Prof. Dr. Javier Medina Quero
Guest Editors
Dr. Aurora Polo Rodríguez
Guest Editor Assistant
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. Applied Sciences 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 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
- machine learning
- Internet of Things
- data sciences
- wearable and assistive technologies
- assistive robots
- health monitoring and healthcare
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