AI-Powered Solutions for Personalized Healthcare Monitoring with Wearables
A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Machine Learning and Artificial Intelligence in Diagnostics".
Deadline for manuscript submissions: 30 November 2025 | Viewed by 106
Special Issue Editors
Interests: artificial intelligence; health care
Interests: health informatics; public health; digital health; artificial intelligence
Special Issue Information
Dear Colleagues,
Artificial intelligence (AI) and wearable technology have transformed healthcare by making sophisticated personal health monitoring systems possible. Healthcare technology has shifted from conventional approaches to wearables with AI capabilities, marking a significant advancement in personalized care. However, further research and development are necessary to overcome current limitations and fully realize the benefits of such integrated health monitoring systems. These applications gather all parameters, which are then transmitted to the AI model for assessment. The prediction of cardiac illness based on the information gathered by the wearable device and its use is the main focus of this type of system's technique. If heart illness is detected or blood oxygen levels fall below a healthy threshold, the device records the information for medical learning. All people should have access to primary care, and lower-income families and individuals should also be able to afford to use a more complete healthcare system.
Artificial intelligence helps medical practitioners to evaluate monitoring data, provide real-time alarms for possible issues, and enable prompt actions. Analytics driven by AI has enormous potential to transform healthcare decision-making and boost productivity. Better patient outcomes, lower costs, and increased operational efficiency across a range of healthcare business areas can result from the deployment of these technologies. By using sophisticated algorithms for data analysis and predictive modeling, artificial intelligence plays a critical role in interpreting this abundance of information. In addition to empowering individuals to take an active role in their own health management, this combination of wearable technology, big data, and AI also helps medical personnel to identify abnormalities, make well-informed judgments, and intervene promptly. To improve remote desktop patient care, encourage the early diagnosis of health conditions, and eventually improve overall outcomes for patients, this abstract examines the revolutionary effects of wearable technology, as well as the combination of big data and artificial intelligence. A ground-breaking advancement in pediatric cardiac diagnostics, AI holds great promise for improving diagnostic precision and for the early identification of pediatric cardiac disorders. AI-powered solutions can accurately evaluate intricate medical data, spot trends that human physicians would miss, and offer insightful information on heart health in children.
One of the biggest problems facing the healthcare sector is making suggestions for individualized and effective therapy. The rapid expansion of medical data and the development of artificial intelligence technologies present a great opportunity to create novel frameworks that use these data for individualized treatment regimens to improve patient outcomes. To produce individualized treatment suggestions, this Special Issue offers an AI-powered framework that combines a variety of data sources, sophisticated machine learning models, and explainable AI methodologies.
Dr. Kuo-Chung Chu
Dr. Jakir Hossain Bhuiyan Masud
Dr. Ming-Chun Huang
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. Diagnostics 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 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
- artificial intelligence
- wearable technology
- health monitoring
- remote patient care
- personalized healthcare
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.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue policies can be found here.
