Smart Mobile and Machine Learning Technologies for Home and Community Healthcare
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Bioelectronics".
Deadline for manuscript submissions: 15 February 2026
Special Issue Editors
Interests: machine learning; deep learning; biomedical informatics; digital health
Interests: deep learning; efficient AI system design; edge computing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In recent years, the integration of smart mobile technologies and machine learning (ML) has emerged as a transformative force in healthcare delivery, especially in home and community settings. Rapid advancements in mobile devices, wearables, and ML-driven applications is enabling continuous remote monitoring, personalized care, and intelligent decision support, fundamentally transforming the delivery of healthcare services outside conventional clinical settings.
This convergence is crucial as global healthcare systems face increasing challenges, including aging populations, the management of chronic diseases, and the need for cost-effective, patient-centered solutions. Mobile systems equipped with sensors and IoT capabilities, combined with powerful artificial intelligence (AI) algorithms, can support early diagnosis, proactive intervention, and personalized health management at home and in the community. These technologies not only enhance patient outcomes, but also reduce the burden on healthcare facilities and providers.
The aim of this Special Issue is to gather cutting-edge research and innovative applications that demonstrate how smart mobile and ML technologies can advance home and community healthcare. This aligns with the Electronics journal’s scope by showcasing how emerging technologies, including wireless communications, bioelectronics, artificial intelligence, and signal processing, can be harnessed to address critical healthcare challenges.
In this Special Issue, original research articles and comprehensive reviews are welcome. Research areas may include, but are not limited to, the following topics:
- Mobile health (mHealth) platforms for remote monitoring and telemedicine
- Wearable sensor technologies for home healthcare
- Machine learning applications for chronic disease management at home
- IoT-enabled home healthcare systems
- Edge AI and real-time signal processing for mobile health devices
- Wireless communications and networks for remote health monitoring
- AI-assisted diagnosis and decision support in community care
- Smart rehabilitation and assistive technologies for home use
- Integration of smart mobile devices with healthcare information systems
- Privacy and security concerns related to healthcare and biomedical applications
- Smart sensors, hardware accelerators, and wearable devices for home and community healthcare
- Multidisciplinary research, such as the sociological dimensions of AI in healthcare
We believe this Special Issue will provide a timely and impactful platform for researchers, practitioners, and industry experts to share their latest developments, address challenges, and inspire future innovations in smart and AI-powered home and community healthcare.
We look forward to receiving your contributions.
Dr. Ao Li
Dr. Geng Yuan
Dr. Na Gong
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. Electronics 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
- smart healthcare
- mobile health
- machine learning
- deep learning
- internet of things
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