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CCGrid 2022 - AI4Health 2022 : [CCGrid] CFP - IEEE/ACM International Workshop on Artificial Intelligence for Health - AI4Health 2022


When May 16, 2022 - May 19, 2022
Where Taormina (Messina), Italy
Submission Deadline Feb 11, 2022
Notification Due Mar 4, 2022
Final Version Due Mar 18, 2022
Categories    health   artificial intelligence   computer networking

Call For Papers


IEEE/ACM International Workshop on Artificial Intelligence for Health
AI4Health 2022

Taormina (Messina), Italy, May 16-19, 2022

in conjunction with the:
- 22nd IEEE/ACM International Symposium on Cluster, Cloud and Internet
Computing (CCGrid 2022), and
- the 6th IEEE International Conference on Fog and Edge Computing 2022 (ICFEC)


eHealth is one of the major research topics that have been attracting
cross-disciplinary research groups. The deployment of new emerging
technologies for Health, especially based on Artificial Intelligence
is attracting the interest of many researchers.

The workshop on Artificial Intelligence for Health - AI4Health 2022 -
aims at bringing together researchers from academia, industry, government
and medical centers in order to present the state of the art and discuss
the latest advances in the emerging area of the use of Artificial
Intelligence and Soft Computing techniques, be they black boxes or
explanation-based, to signals, images, and data in the fields of medicine,
healthcare and wellbeing.

AI4Health is expected to cover the whole range of theoretical and
practical aspects, technologies, and systems related to the application
of artificial intelligence and soft computing methodologies to issues as
machine learning, deep learning, knowledge discovery, decision support,
regression, forecasting, optimization, and feature selection in the healthcare
and wellbeing domain.

The topics of interest include, but are not limited to, the application of
artificial intelligence and soft computing methodologies 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
- Information and networking security in healthcare
- Medical Signal and Image Processing and Techniques
- Medical Expert Systems
- Biomedical Applications
- Diagnosis and Therapy Support Systems
- 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
- Healthcare Devices and Circuits for Artificial Intelligence

- Submission deadline: February 11, 2022
- Notification of paper acceptance: March 04, 2022
- Submission of camera-ready papers: March 18, 2022
- Registration: March 18, 2022

We invite original research papers that have not been previously published
and are not currently under review for publication elsewhere.

Authors can submit papers electronically through the following link:

Submitted papers should be no longer than 8 pages in two-column IEEE
template format. All accepted papers will be published as part of the
CCGRID proceedings. All previous CCGRID proceedings have been published
by the IEEE and are available online through IEEE Digital Library
(EI indexing). At least one author of each accepted paper is required
to register for the conference and present the paper. Only registered
and presented papers will be published in the conference proceedings.

The review process is single-blind. Each paper must be reviewed by at
least 3 anonymous reviews.

A "Best Paper Award" Certificate will be conferred on the author(s)
of a paper presented at the workshop, selected by the Chairs based
on scientific significance, originality and outstanding technical
quality of the paper, as assessed also by the evaluations of the
members of the Program Committee.

Please visit for more information and
if you have any questions kindly get back to us by sending an email at

Kind regards,
AI4Health Organization

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