Explainability, Reliability and Trust in Smart Internet of Things Healthcare Systems
A special issue of Future Internet (ISSN 1999-5903). This special issue belongs to the section "Internet of Things".
Deadline for manuscript submissions: closed (30 June 2024) | Viewed by 2729
Special Issue Editor
Interests: sensor-based activity recognition; hybrid activity recognition methods; recognition of behavioral anomalies; pervasive computing and context awareness; context modeling techniques; privacy in location-based services; privacy in pervasive computing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The emerging integration of sensing, reasoning, and communication capabilities into smart homes and everyday objects provides unprecedented opportunities for innovation in several fields. In the healthcare domain, artificial intelligence (AI) algorithms are increasingly applied to Internet of Things (IoT) data for supporting different applications, including remote monitoring of medical conditions, early detection of cognitive issues, rehabilitation, and personal well-being. Currently, however, most AI algorithms for healthcare act as black-boxes. Thus, the lack of explainability and interpretability of the reasons behind the AI algorithm’s output challenges the reliability and trustfulness of smart IoT healthcare systems.
The goal of this Special Issue is to provide an overview of the latest developments regarding methods to increase the explainability, reliability, and trust in smart IoT healthcare systems.
Topics of interest include but are not limited to the following:
- Explainable AI methods for digital health;
- Trust in IoT healthcare systems;
- Reliability in IoT healthcare systems;
- Privacy for smart healthcare and well-being;
- Security in smart healthcare ecosystems;
- Persuasiveness and explainability in behavior change apps;
- Acceptability and user experience in smart healthcare;
- Smart user interfaces for digital healthcare platforms.
Dr. Daniele Riboni
Guest Editor
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Keywords
- explainable AI
- reliability in smart healthcare
- trust and usability in e-health systems
- security and privacy for pervasive healthcare
- interpretability of medical AI models
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