Digital Health, Mobile Technologies and Future of Human Healthcare
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Biomedical Engineering".
Deadline for manuscript submissions: 20 June 2025 | Viewed by 97
Special Issue Editor
Interests: artificial intelligence; innovative healthcare; medical technology; medical assistive technology; medical image analysis and visualization; intelligent diagnosis systems; smart biomedical image; bio signal acquisition (MRI, PET, EEG)
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The significant development of digital health has led to higher requirements for innovative healthcare technology. Alongside digital health, mobile technologies and their pervasiveness are opening new and very interesting approaches with many applications such as Smart Healthcare, Smart home, Smart manufacturing, Smart logistics and Smart mobility.
The employment of innovative artificial intelligence and deep learning-based approaches has become the backbone for healthcare systems. Deep learning has consistently shown high capabilities in intelligent control, reasoning and the evaluation of different applications. In this Special Issue, we encourage the submission of research papers that describe original, high-quality, empirically and/or theoretically validated work in the application, implementation and evaluation of deep learning with innovative digital health, mobile technologies and the future of human healthcare, which have broad prospects and different innovative applications including, but not limited to, the following:
- Smart Healthcare.
- Intelligent Medical Technology.
- Ambient Intelligence.
- Smart IoT for Better Healthcare.
- Applied Bioinformatics.
- Physical, Physiological, Cognitive and Behavioral Control.
- IoT Devices Control.
- Image Analysis and Control.
- Innovative Human Interaction and Healthcare.
Dr. Saeed Sharif
Guest Editor
Manuscript Submission Information
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Keywords
- artificial intelligence and deep learning
- deep learning for healthcare
- real-time intelligent biosignal and medical image acquisition
- healthcare and big data analytics
- intelligent control and IoT
- optimizations for efficient intelligent control based on deep learning
- biosignal processing for healthcare
- intelligent control, biosignal and medical image analysis
- AI-aided smart cyber-physical systems for healthcare
- human interaction and healthcare
- other emerging subjects in healthcare and medical technology
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