Artificial Intelligence in Biomedical Engineering and Informatics
The 2nd Workshop on
Artificial Intelligence in
Biomedical Engineering and Informatics (AI-BEI)
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.
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
Please visit AIAI 2022 important dates to be informed about the submission deadlines.
Submission details can be found at AIAI conference submission page.
All papers should be submitted either in a doc/docx or in a pdf form and will be peer reviewed by at least 2 academic referees. Contributing authors must follow the AIAI2022’s paper format guidelines as far as the IFIP AICT file format.
Papers will be peer reviewed by at least two (-2-) members of the workshop’s program committee.
Accepted papers will be published in the Proceedings of AIAI VOLUME 2, under the Springer IFIP AICT Series.
You can submit you MHDW paper here http://www.easyacademia.org/