Artificial Intelligence for Daily Health and Motion Management
A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601). This special issue belongs to the section "Digital Health".
Deadline for manuscript submissions: closed (1 August 2020) | Viewed by 12942
Special Issue Editors
Interests: decision support systems; pervasive computing; e-health
Special Issues, Collections and Topics in MDPI journals
Interests: artificial Intelligence; natural language processing; knowledge engineering; conversational systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In recent years, with the rapid advance of Artificial Intelligence in many medical fields, on the one hand, and of novel Internet of Things technologies to track health statistics, such as humans’ daily activity and vital signs, on the other hand, new opportunities are being created for health and medicine.
Despite the recent remarkable success of AI and, in particular, of deep learning, in different clinical scenarios, significant challenges still remain with reference to the application of AI and IoT technologies to daily assist patients at their homes and early and consistently treat many health issues before reaching critical stages. Indeed, currently, AI solutions for health monitoring and care at patients’ homes are still at an early stage, with a very few real-world implementations. Thus, the real feasibility of such AI applications in everyday activities and settings is unknown and requires further investigations and validation.
This Special Issue is intended to provide an overview of the research being carried out to address the challenging aspects of AI application for daily health management. A particular focus will be given on emerging approaches and real applications of AI to support programmes for daily and personalized health monitoring, assistance and rehabilitation at home. To this end, the Special Issue aims to gather researchers with a broad expertise in various fields—computer vision, natural language and signal processing, statistics logics and neural networks, human–computer interaction and robotics—to discuss their cutting-edge work as well as perspectives on future directions in this exciting field. Original contributions are sought, covering the whole range of theoretical and practical aspects, technologies, and systems in this research area.
The topics of interest for this Special Issue include but are not limited to:
- Big data and predictive analytics;
- Machine/deep learning, knowledge discovery, and data mining;
- Knowledge representation and human-like reasoning;
- Computer vision and pattern recognition;
- Signal processing;
- Reinforcement learning;
- Human–computer interaction;
- Natural language processing and conversational systems/interfaces;
- Cognitive and social robotics;
- Sentiment analysis, emotion detection, and opinion mining;
- Trustworthy and explainable artificial intelligence;
- AI solutions for ambient assisted living, telemedicine and e-health.
Eng. Dr. Giuseppe De Pietro
Dr. Massimo Esposito
Guest Editors
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Keywords
- Artificial intelligence
- Decision support systems
- e-health
- Big data
- Machine/deep learning
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