Responsible Artificial Intelligence and Internet of Things in Health Applications (2nd Edition)
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".
Deadline for manuscript submissions: 31 October 2024 | Viewed by 33
Special Issue Editors
2. The KITE Research Institute, University Health Network, Toronto, ON, Canada
Interests: development of new technological solutions for slips; trips and falls (STF) prevention powered by artificial intelligence (AI); development of tech solutions that bring reliability and quality to elderly’s life; large-scale Internet of Things (IoT); sensor data fusion and data analytics; physiological and biomechanical analysis of patients with mobility impairment to provide smart solutions for an in/outdoor environment
Special Issues, Collections and Topics in MDPI journals
2. The KITE Research Institute, University Health Network, Toronto, ON, Canada
Interests: practical solutions to common problems of daily living for an aging population, people with disabilities and their caregivers; solutions that reduce falls through improved environmental and footwear designs; development and commercialization of technology to reduce the large numbers of patients who catch infections when in hospital
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Sensors welcomes submissions to this Special Issue on “Responsible Artificial Intelligence and Internet of Things in Health Applications (2nd Edition)”.
The complexity and dramatic increase in the amount of data in health applications have led to the development of artificial intelligence (AI) systems within the field. The Internet of Things (IoT) will allow for more closely connected and remotely managed health conditions. In addition, there is growing interest in cloud computing and, more recently, fog and edge computing for time-sensitive applications and real-time analytics. To this end, this Special Issue is looking for articles that provide unique insight into the development of IoT or AI-enhanced methods in health applications.
Dr. Atena Roshan Fekr
Prof. Geoff Fernie
Guest Editors
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. Sensors 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 2600 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
- deep learning applications relating to health
- machine learning applications relating to health
- AI applications to health
- IoT applications to health and to maintaining independence in the face of physical, sensory and cognitive challenges
- AI applied to remote monitoring of safety of seniors at home (including falls, hydration, nutrition, etc.)
- cloud/fog/edge computing in health applications
- using AI to enhance wearable and implantable devices for health AI applications of sensory systems for biomedical applications
