Advances in Digital Health Technologies
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 20 March 2026 | Viewed by 3
Special Issue Editors
Interests: AI ethics; intelligent systems for healthcare; wearable sensors; machine learning
Special Issues, Collections and Topics in MDPI journals
Interests: Machine learning; robotics; intelligent systems for healthcare
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The rapid advancement of digital technologies is transforming healthcare systems. The integration of artificial intelligence, wearable devices, and interconnected medical technologies is reshaping how health data is collected, analyzed, and utilized. Key themes include the enhancement of diagnostic accuracy, the personalization of treatment plans, and the facilitation of remote patient monitoring. Nevertheless, this evolution is also associated with complex challenges related to privacy, safety and security; ensuring transparency and explainability in systems; and upholding the core principles of fairness, responsibility, accountability, and trust. To fully harness the potential of digital health, it is essential to deepen our understanding of how these technologies interact with clinical practice and patient outcomes, supported by rigorous scientific research and ethical frameworks.
This Special Issue seeks high-quality original papers that focus on recent advances in digital health technologies, emphasizing their development, implementation, and impact on healthcare delivery. We welcome contributions that explore novel AI applications, IoMT systems, wearable innovations, data security solutions, and ethical or regulatory considerations.
The scope of this Special Issue includes, but is not limited to, the following topics:
- Artificial Intelligence and Machine Learning in healthcare diagnostics and treatment planning;
- Internet of Medical Things (IoMT) and sensor networks for patient monitoring;
- Wearable health devices and real-time data acquisition;
- Data security, privacy protection, and cybersecurity in digital health;
- Integration of digital health tools in clinical workflows and telemedicine;
- Personalized medicine and digital therapeutics enabled by technology;
- Big data analytics, interoperability, and standards for health information exchange;
- Human–AI collaboration and trust in automated healthcare systems.
Dr. Lourdes Martínez-Villaseñor
Prof. Dr. Hiram Ponce
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. 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
- digital health
- artificial intelligence (AI)
- Machine Learning,Internet of Medical Things (IoMT)
- wearable health devices
- patient monitoring
- data privacy
- cybersecurity
- explainable AI (XAI)
- transparency in AI
- health equity
- ethical AI
- personalized medicine
- digital therapeutics
- clinical decision support
- health data analytics
- interoperability
- regulatory compliance
- telemedicine
- human–AI interaction
- trustworthy AI
- healthcare innovation
- big data in healthcare
- responsible AI
- healthcare technology integration
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