Digital Healthcare in Pandemics
A special issue of Digital (ISSN 2673-6470).
Deadline for manuscript submissions: closed (31 January 2024) | Viewed by 2275
Special Issue Editors
Interests: Internet of Things; digital healthcare; physical activity classification; machine learning
Special Issues, Collections and Topics in MDPI journals
Interests: Internet of Things (IoT); digital twins; Industry 4.0; machine learning; smart healthcare; cyber physical systems
Special Issues, Collections and Topics in MDPI journals
Interests: data analytics; internet of things; smart environments; collective intelligence
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The steady increase in healthcare requirements has affected the healthcare infrastructure. The fragility of a sustainable healthcare system has been witnessed frequently in the past few years. While it can be partially attributed to the prevailing health concerns and the emergence of new diseases, lack of legislation and slow-paced adaption of intelligent healthcare systems also pose major challenges.
The recent coronavirus disease 2019 (COVID-19) pandemic has pushed healthcare systems to the verge of collapse. Undoubtedly, the COVID-19 catastrophe has jeopardized human activities at large and exposed us to unseen threats that have damaged the socioeconomic infrastructure. In such circumstances, smart healthcare offers a sustainable future where technology-driven solutions founded in artificial intelligence, information and communications technology (ICT), cloud and fog computing, decision support systems, big data analytics, telehealth, transportation and emergency response, robotics, assistive technologies, distributed processes, remote monitoring, disease diagnosis, and internet of medical things (IoMT) can have a substantial impact. This Special Issue focuses on both theoretical and practical aspects in digital healthcare and the provision of smart healthcare solutions amidst pandemics.
Topics of interest include, but are not limited to:
- Internet of Medical Things (IoMT);
- Developing and building new models and architecture for IoMT;
- Decision support systems for IoMT-enabled healthcare in pandemics and health crises;
- IoMT for emergency services and pandemics;
- Performance, scalability, and reliability in IoMT;
- Cloud-based healthcare solutions in pandemics;
- Body area networks;
- Security and privacy;
- Intelligent systems;
- Machine learning approaches to facilitate diagnosis and prediction;
- Deep learning for predictive modelling and the realization of digital twins in healthcare;
- Medical image analysis;
- Medical/bio sensors and sensor networks;
- Telehealth solutions and digital doctors;
- Digital twins in healthcare infrastructure;
- Predictive request routing and medical resource allocation;
- Deep learning techniques for diagnosis and decision support;
- Intelligent transportation to facilitate the provision of healthcare services and emergency response;
- ICT-enabled assistive technologies;
- Cloud and fog computing in digital health realization;
- IoMT for the remote monitoring of patients.
You may choose our Joint Special Issue in Sensors.
Dr. Muhammad Awais
Dr. Mohsin Raza
Prof. Dr. Nik Bessis
Guest Editors
Manuscript Submission Information
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