Dear Colleagues,
We deeply apologize if you received multiple copies of this CFP.
We hope you will be able to submit your work to this special issue:
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IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
Impact Factor (2019): 5.223
Special Issue on Enabling Technologies for Next Generation Telehealthcare
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Nowadays, all over the world, the number of Information and Communication
Technology (ICT) investments in health and well-being is rapidly
increasing. In this context, there is a growing interest about
telehealthcare that allows the provisioning of various kinds of
health-related services and applications over the Internet. The main
benefits of telehealthcare are: it reduces the risk of infection because
patients can make use of remote healthcare services directly in their homes
without the need to physically move in clinical centers; it can optimize
healthcare workflows; it pushes down clinical costs; it improves the
quality of life of both patients and their families. Telehealthcare
solutions are typically aimed at tele-nursing, tele-rehabilitation,
tele-dialog, tele-monitoring, tele-analysis, tele-pharmacy, tele-trauma
care, tele-psychiatry, tele-radiology, tele-pathology, tele-dermatology,
tele-dentistry, tele-audiology, tele-ophthalmology, etc. In recent years
the rapid advent and evolution of emerging ICT solutions (such as Internet
of Things (IoT), Cloud/Edge/Fog computing, Artificial Intelligence (AI),
Blockchain, etc.) are revolutionizing the whole telehealthcare sector.
This special issue aims to attract contributions from both academic and
industrial organizations focusing on the application of such an emerging
ICT for addressing Telehealthcare issues.
Topics of interest include, but are not limited to, the following:
• Emerging architectures and technologies for telehealth;
• Computer aided clinical diagnosis and therapy;
• Networked applications for telehealth;
• Medical signal and data processing;
• Algorithms for decision support and therapy improvement;
• Artificial Intelligence applications for telehealth;
• Advanced security techniques for telehealth.
Guest Editors
Antonio Celesti, University of Messina, Italy, acelesti(a)unime.it
Ivanoe De Falco, ICAR - CNR, Italy, ivanoe.defalco(a)icar.cnr.it
Leandro Pecchia, University of Warwick, UK, L.Pecchia(a)warwick.ac.uk
Giovanna Sannino, ICAR - CNR Italy, giovanna.sannino(a)icar.cnr.it
Key Dates
Deadline for Submission: 31 Dec, 2020
First Reviews Due: 31 Mar, 2021
Revised Manuscript Due: 31 May, 2021
Final Decision: 31 Jul, 2021
For all information:
https://www.embs.org/enabling-technologies-for-next-generation-telehealthca…
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MDPI COMPUTERS JOURNAL
Special Issue on Artificial Intelligence for Health
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Health is one of the major research topics that have been attracting
cross-disciplinary research groups. The deployment of new emerging ICT
technologies for Health, especially based on Artificial Intelligence,
Computational Intelligence, and Internet of Things (IoT), is attracting the
interest of many researchers.
We are inviting to submit original research work covering novel theories,
innovative methods, and meaningful applications that can potentially lead
to significant advances in Artificial Intelligence for Health.
There are no page limitations for this journal.
In light of the current pandemic, severely affecting the whole world,
papers focusing on the application of the above ideas to any issue related
to COVID-19 are highly welcome.
The main topics include, but are not limited to:
• Knowledge Management of Health Data;
• Data Mining and Knowledge Discovery in Healthcare;
• Machine and Deep Learning approaches for Health Data;
• Explainable AI models for health, biology and medicine;
• Decision Support Systems for Healthcare and Wellbeing;
• AI for Precision Medicine;
• Optimization for Healthcare problems;
• Regression and Forecasting for medical and/or biomedical signals;
• Healthcare Information Systems;
• Wellness Information Systems;
• Medical Signal and Image Processing and Techniques;
• Medical Expert Systems;
• Diagnoses and Therapy Support Systems;
• Biomedical Applications;
• Applications of AI in Healthcare and Wellbeing Systems;
• Machine Learning-based Medical Systems;
• Medical Data and Knowledge Bases;
• Neural Networks in Medicine;
• Ambient Intelligence and Pervasive Computing in Medicine and Healthcare;
• AI in genomics;
• AI for Healthcare Social Networks
Guest Editors
Antonio Celesti, University of Messina, Italy, acelesti(a)unime.it
Ivanoe De Falco, ICAR - CNR, Italy, ivanoe.defalco(a)icar.cnr.it
Antonino Galletta, University of Messina, Italy, angalletta(a)unime.it
Giovanna Sannino, ICAR - CNR Italy, giovanna.sannino(a)icar.cnr.it
Key Dates
Deadline for Submission: 31 January, 2021
For all information:
https://www.mdpi.com/journal/computers/special_issues/AI_Health