Wearable Sensors and Artificial Intelligence for Real-Time Disease Monitoring
A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Point-of-Care Diagnostics and Devices".
Deadline for manuscript submissions: 31 March 2026 | Viewed by 5
Special Issue Editor
Special Issue Information
Dear Colleagues,
The integration of wearable sensors with artificial intelligence represents a transformative shift in modern healthcare, allowing continuous, non-invasive monitoring and intelligent analysis of physiological data for real-time disease detection and management. This rapidly advancing field addresses key healthcare issues, including rising rates of chronic diseases, physician shortages, and the need for proactive health measures.
Recent advances have demonstrated impressive capabilities, with AI-enhanced wearable systems achieving diagnostic accuracy of 96-99% across various applications and real-time processing delays as low as 14.4 ms. The market is expected to demonstrate strong growth at a 18.3% CAGR, with device shipments rising from 327.6 million units in 2021 to 1.487 billion by 2030. As of 2024, the FDA has approved over 950 AI/ML-enabled medical devices, indicating rapid growth in regulatory approvals.
Key technological innovations include multimodal sensor integration, which combines physiological monitoring with biochemical analysis, edge AI computing for autonomous real-time analysis, and predictive algorithms capable of forecasting health deterioration hours in advance. Applications range from cardiovascular disease monitoring and diabetes management to the detection of neurological disorders and the surveillance of chronic diseases.
This Special Issue invites original research articles and comprehensive reviews on advanced sensor technologies, AI algorithms for health data analysis, clinical validation studies, real-time monitoring systems, and emerging applications in personalized medicine. Topics include, but are not limited to, machine learning algorithms, deep learning architectures, biosensor development, edge computing, predictive analytics, and clinical implementation strategies.
Dr. Wei-Chih Lien
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. 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
- wearable sensors
- artificial intelligence
- real-time monitoring
- digital health
- biosensors
- machine learning
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.
