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Applied Sciences
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Digital Health, Mobile Technologies and Future of Human Healthcare
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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 January 2026 | Viewed by 2073

Special Issue Editor

Dr. Saeed Sharif

E-Mail Website
Guest Editor
Leader of Intelligent Technologies Research Group, School of Architecture, Computing and Engineering, University of East London, London E16 2RD, UK
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

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

  • 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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Further information on MDPI's Special Issue policies can be found here.

Published Papers (2 papers)

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Research

17 pages, 644 KiB  
Article
Critical Factors in Young People’s Use and Non-Use of AI Technology for Emotion Regulation: A Pilot Study
by Junyu Wang, Hongying Tang, Siu-Shing Man, Yingwei Chen, Shuzhang Zhou and Hoi-Shou (Alan) Chan
Appl. Sci. 2025, 15(13), 7476; https://doi.org/10.3390/app15137476 - 3 Jul 2025
Viewed by 377
Abstract
Emotional difficulties are increasingly prevalent amongst young people, yet the use of AI technology for emotion regulation remains limited. This study aimed to identify young people’s attitudes toward AI technology for emotion regulation and to analyse the factors influencing their decision to use [...] Read more.
Emotional difficulties are increasingly prevalent amongst young people, yet the use of AI technology for emotion regulation remains limited. This study aimed to identify young people’s attitudes toward AI technology for emotion regulation and to analyse the factors influencing their decision to use or not use AI technology. Forty participants from China, comprising twenty males and twenty females, with a mean age of twenty-five, took part in the study. Data were collected through semi-structured face-to-face interviews and were analysed using NVivo 11 software. Grounded theory techniques and a three-stage coding approach were used to categorise the data. The grounded theory model demonstrated that user behaviours are influenced by three contextual factors: personal, technological and environmental contexts. Key influencing factors for user behaviours include fulfilling utilitarian, hedonic and social value needs such as perceived usefulness, ease of use, trust, positive emotions, interest, social perception, high value, convenience and privacy protection. This study offered theoretical insights and practical recommendations for designing and developing AI technology aimed at emotion regulation in youth populations. Full article
(This article belongs to the Special Issue Digital Health, Mobile Technologies and Future of Human Healthcare)
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14 pages, 1685 KiB  
Article
Effects of a 12-Week Semi-Immersive Virtual Reality-Based Exercise Program on the Quality of Life of Older Adults Across Different Age Groups: A Randomized Controlled Trial
by Li-Ting Wang and Yu-Wen Wang
Appl. Sci. 2025, 15(2), 902; https://doi.org/10.3390/app15020902 - 17 Jan 2025
Viewed by 1241
Abstract
Aging may affect quality of life (QOL). This study aimed to evaluate the impact of semi-immersive VR-based exercise on the QOL of young-old and middle-old adults. This study was a randomized controlled trial involving older adults aged 65–85 years. Methods: Two age groups [...] Read more.
Aging may affect quality of life (QOL). This study aimed to evaluate the impact of semi-immersive VR-based exercise on the QOL of young-old and middle-old adults. This study was a randomized controlled trial involving older adults aged 65–85 years. Methods: Two age groups were each randomly assigned to experimental (EG) and control (CG) groups. The EG underwent a 75–90 min semi-immersive VR-based exercise intervention twice a week for 12 weeks, whereas the CG continued with their usual daily activities. Each participant’s psychological QOL was assessed using the World Health Organization’s QOL Instrument-Older Adults Module (WHOQOL-OLD). Results: Compared with their CG counterparts, the EG older adults exhibited significantly higher QOL scores in four WHOQOL-OLD dimensions (i.e., sensory abilities, autonomy, social participation/isolation, and death and dying) and had a superior overall QOL. Furthermore, we observed significant decreases in the autonomy and overall QOL dimensions in CG older adults. On comparing the young-old and middle-old adults, a significant decrease in the past, present, and future activity QOL dimension was exclusively found in CG young-old adults. Conclusions: Semi-immersive VR-based exercise is a promising digital tool for supporting the psychological QOL of older adults across different age groups. This suggests that older persons, particularly young-old adults, should be encouraged to maintain physical activity habits in their daily lives in order to improve their QOL. Full article
(This article belongs to the Special Issue Digital Health, Mobile Technologies and Future of Human Healthcare)
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