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IEEE International Workshop on Artificial Intelligence for Health (AI4Health 2023)
in conjunction with the 19th IEEE International Conference on e-Science
9 - 13 October, 2023 - Limassol, Cyprus - https://ai4health.icar.cnr.it
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The workshop on Artificial Intelligence for Health (AI4Health 2023) aims at bringing together researchers from academia, industry, government, and medical centers to present 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 such as machine learning, deep learning, knowledge discovery, decision support, classification, regression, forecasting, optimization, and feature selection in the healthcare and wellbeing domain.
AI4Health will be of interest to several kinds of professional figures, for example, researchers from academia, industry, government, and medical experts, to know more about the recent trends focusing on eHealth and the next-generation technologies for healthcare. In general, the workshop will be of interest to anyone who would like to know more on how to adopt recent cloud, edge, and fog computing, IoT, artificial intelligence, and blockchain to develop cutting-edge eHealth services.
Topics of interest include but are not limited to the following:
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- Knowledge Management of Health Data;
- Artificial Intelligence for Health;
- Data Mining and Knowledge Discovery in Healthcare;
- Machine and Deep Learning approaches for Health Data;
- Applications of AI in Healthcare and Wellbeing Systems;
- Neural Networks, Evolutionary Algorithm, Fuzzy Logic, and hybrid approaches in Medicine;
- Rule-based and Tree-based methods in Medicine, Healthcare and Wellbeing;
- Explainable and Interpretable AI models for Health, Biology and Medicine;
- Federated Learning for Medical and Healthcare Data;
- Decision Support Systems for Healthcare and Wellbeing;
- AI for Precision Medicine;
- Classification in Medical and Healthcare domains;
- Optimization for Healthcare problems;
- Regression and Forecasting for Medical and/or Biomedical Signals;
- Healthcare Information Systems;
- Information and networking security in healthcare;
- Medical Signal and Image Processing and Techniques;
- Cloud/Edge/Fog computing for Health;
- IoT for Healthcare;
- Blockchain to develop cutting-edge eHealth service.
Submission Guidelines
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Manuscripts should describe original work and should be at least 6 pages and no longer than 10 pages (including figure, tables, and citations) in the IEEE conference format.
In order to download manuscript templates for IEEE conference proceedings use the following link: https://www.ieee.org/conferences/publishing/templates.html
At least one author of each accepted paper is required to register to the conference and present the paper. Only registered and presented papers will be published in the conference proceedings.
Accepted papers will be included in the proceedings of eScience 2023 (https://www.escience-conference.org/2023), of which AI4Health is a workshop, and will be indexed by IEEE Xplore.
Paper Publication
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Accepted papers will be included in the proceedings of eScience 2023, of which AI4Health is a workshop, and will be indexed by IEEE Xplore.
In addition, 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.
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