AIMH – Symposium on Visualization and Artificial Intelligence for Medicine, Healthcare and Social Good

Visualization and Artificial Intelligence for Medicine, Healthcare and Social Good

The long-time standing symposium on BioMedical Visualization (IVBi) is updated for the 2022 year as part of the 2022 International Conference on Information Visualisation. The symposium covers all aspects of visualization and issues affecting large and complex data sets in the realms of medicine, healthcare and social good. Artificial intelligence in medicine and healthcare is an all-encompassing term employed to describe the use of machine learning, artificial intelligence, and deep-learning and related developments to aid, automate and/or strengthen presentation and comprehension of complex medical diagnosis and healthcare data. Technology for social good aims to improve individual’s lives and their impact on the environment, equality, inclusion, hunger, education, mobility, transport and human rights. We encourage the submission of papers covering new techniques, old techniques applied in novel ways, new methods, interesting applications, and in-depth surveys.

Medical and healthcare topics include, but are not limited to:

    • High-performance computing and parallel rendering
    • Signalling pathways, biochemical networks
    • AI & Computer aided diagnosis
    • Visualization of longitudinal health data
    • Operational initiatives support
    • Data-driven drug discovery, digital drug discovery and development
    • Small molecule drug design
    • Health-related event detection in large data collections
    • Fusing, interpretation, and visualization of health and wellness data
    • Multimedia for the self-management of personal health
    • AI & Decision support systems in healthcare
    • Monitoring of health-related daily activities
    • Sensors for e-health

Social good topics of interest include but are not limited to:

    • Supporting self-monitoring of personal health
    • Social good for people with special needs
    • HCI for social good
    • Social good for equality and inclusion
    • AI & Machine learning applications for social good
    • Systems and devices for inclusion
    • Systems for patient empowerment
    • Games and multimedia applications for social good

Examples of visualization topics include, but are not limited to:

    • Interaction with data sets, human factors
    • Data exploration using classical and novel approaches
    • Visualization and databases
    • Linking literature and semantics in pathway visualizations
    • Volume and flow visualization
    • Annotation and labelling
    • Overview and detail presentation of predictive or uncertain data
    • Comparative Methods / User studies / Surveys
    • Identification of correlated and anomalous relationships in disparate data sets

Please check the submission procedures @ the submission page.

General enquiries and submissions should be addressed to the Conference Co-ordinator

Symposium enquiries specific should be addressed to the symposium Coordinators:

Urska Cvek (Prof.), Louisiana State University USA,
Marjan Trutschl, Sc.D., Louisiana State University USA,
Heimo Mueller, Ph.D., Medical University Graz AT,
Harri Siirtola , (TAU)
Wai Lok Woo (Prof.), Artificial Intelligence and Digital Technology Research Cluster,
Rita Francese, Università degli Studi di Salerno | UNISA ITALY,
Veronica Rossano, University of Bari, ITALY,