WORKSHOP
Artificial Intelligence
in Biomedical Engineering and Informatics
collocated with
Special Issue in IEEE JBHI
Aim & Scope
Artificial Intelligence (AI) is gradually changing the routine of medical practice, and the level of acceptance by the medical personnel is constantly increasing. Recent progress in digital medical data acquisition through advanced biosignal and medical imaging devices, machine learning and high-performance cloud computing infrastructures, push health-related AI applications into areas that were previously thought to be only the province of human experts. Such applications employ a variety of methodologies, including fuzzy logic, evolutionary computing, neural networks, or deep learning for producing AI-powered models that simulate human physiology; often called digital twins. In this context, digital twins can also be used t modeling an individual’s genomic makeup, physiological characteristics, and lifestyle to deliver personalized medicine. It is an ambitious paradigm looking at the human in an end-to-end approach, across all scales, unifying the virtual physiological human and the daily health behavior models and technologies. This approach is anticipated to disrupt clinical practice, since it offers a more individual focus than precision medicine, which typically involves specific groups within a greater population. Furthermore, twinning the human body can support medical diagnostics, follow-up monitoring, preventive medicine, therapy assessment, and many other domains.
Topics
The workshop aims to support research and innovation on Artificial Intelligence in Biomedical Engineering and Informatics and especially in:
• Wearable Systems and Quantified-Self technologies for collecting digital twin data
• Medical and Sensor Data analysis and transformation for AI-based modelling
• Machine Learning for twinning the human body
• Medical Image Analysis and Radiomics – Integrating radiomics with multi-omics and AI
• Intelligent Data Processing and Predictive Algorithms for Digital Twins
• Assistive Environments and Coaching based on Digital Twins
• Cloud and Edge Computing Technologies enabling for Digital Twins
• Security, Safety and Privacy aspects of Digital Twinning
Papers reporting original and unpublished research results on the above and related topics are solicited. Authors should submit a paper with up to 12 pages (in English) in single-column Springer format following the Springer IFIP AICT format guidelines.
Submissions must be in electronic form as .pdf files and should be uploaded with EasyAcademia. Submitted papers will be peer-reviewed by at least 2 independent members of the program committee.
At least one author of each accepted paper must be registered and present the paper at the workshop.
Submission details can be found at AIAI conference submission page.
Find Registration info here.
All accepted papers will be included in the conference proceedings and published in the Springer IFIP AICT (Advances in Information and Communication Technology) series.
Extended versions of selected workshop papers will be considered for publication in Journal of Biomedical and Health Informatics (IF 5.772). This Special Issue will focus on research targeting at the development of such AI-powered models and digital twins for personalized healthcare.
Paper Submission Deadline: 25th February, 2022
Notification of Acceptance/Rejection: 26th March, 2022
Camera Ready Submission/Registration: 22th April, 2022
Early / Author registration by: 22th April, 2022
Conference Dates: 17 – 20 June, 2022
Ilias Maglogiannis | University of Piraeus
Ioanna Chouvarda | Aristotle University of Thessaloniki
Spyretta Golemati | National and Kapodistrian University of Athens
Michail Sarafidis | National Technical University of Athens
Antonis Aletras | Aristotle University of Thessaloniki, Greece
Andreas Andreou | Johns Hopkins University, USA
Kalliopi Dalakleidi | National Technical University of Athens, Greece
Kostantinos Delibasis | University Of Thessaly, Greece
Dimitris Filos | Aristotle University of Thessaloniki, Greece
Aimilia Gastounioti | University of Pennsylvania, USA
Athanasios Kallipolitis | University of Piraeus, Greece
Efthyvoulos Kyriacou | Frederick University, Cyprus
Andreas Menychtas | University of Piraeus, Greece
Konstantinos Moutselos | University of Piraeus, Greece
Andreas Panayides | University of Cyprus, Cyprus
Nikos Paragios | University of Paris Saclay / TheraPanacea, France
Vassilis Plagianakos | University of Thessaly, Greece
For academic enquiries regarding the Artificial Intelligence in Biomedical Engineering and Informatics Workshop:
Michail Sarafidis
National Technical University of Athens
Email: msarafidis@ieee.org