Smart Healthcare Systems Based on the Internet of Things and Artificial Intelligence

Dear Colleagues,

Public healthcare informatics and its management is a critical issue for the wellbeing of the public healthcare community. It is imperative that public welfare organizations and the available technologies must acquire, manage, process, and analyze healthcare information of various healthcare disease patients such as dementia/Parkinson’s, Alzheimer’s, cardiac arrest, etc. In recent times, there is an immediate need to design and develop healthcare frameworks, public healthcare systems, and quality healthcare services to offer real-time updates related to patient conditions and medical reports to the doctors and caretakers. To advance the concept of smart public healthcare, there is a need to propose fog and edge computing-based medical tools which can collect health sensor data, process them, analyze them, and integrate them with intelligent healthcare applications.

However, the development of fog computing/edge computing-based public healthcare tools is a challenging task. Additionally, numerous challenges are present in designing and developing intelligent healthcare tools; there is an immediate need to address this issue by proposing innovative public healthcare frameworks and smart public healthcare tools which can offer computation and processing of medical sensor data, migrate the required tasks at the edge level, and meet the current demands of intelligent healthcare setups.

This Special Issue aims to carry out recent advances in the Internet of Medical Things, Artificial Intelligence of Medical Things, consolidate them for public healthcare analytics, and do rigorous research in public healthcare applications and tools.

Topics of interest include but are not limited to the following:

• Design and development of smart public healthcare tools;
• Fog and edge computing-based healthcare frameworks;
• Design and development of healthcare tools to perform medical diagnosis using techniques such as medical imaging;
• Application of big data in healthcare;
• Multimodal data collection and sensor-fusion based analysis of healthcare sensor data;
• AI-based healthcare diagnosis and prevention;
• Public healthcare systems and frameworks;
• Using data analytics in public healthcare for safety and security;
• Assessment of public healthcare data analytics;
• Innovative ideas related to public healthcare management and safety;
• Discussion of use cases related to public healthcare data analytics;
• Latest trends and technologies in the IoMT and AIoMT area;
• Fog, mist, edge, and cloud computing based healthcare frameworks for AIoMT.

Dr. Hemant Ghayvat
Dr. Sharnil Pandya
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 250 words) can be sent to the Editorial Office for assessment.

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.