• Predicting from complex data

    Predicting from complex data

    Researchers investigating computer vision, ML and signal processing algorithms and working on applications in medical imaging and intelligent transport systems.
  • Real time information for clinicians working on Covid-19 critical care

    Machine Learning for acute kidney injury in COVID 19

    Covid-19 is a new, highly contagious disease, and there are no established protocols for treatment.
  • Clinical informatics

    Clinical informatics

    The Queensland Digital Health Research Group specialises in the creation and integration of decision support (including AI) into routine clinical care
  • ML and decision-making

    ML and decision-making

    ML and decision-making research involves using health and administrative data to developing explainable ML learning models to support decision-making.
  • Bioinformatics

    Bioinformatics

    Bioinformatics draws on computer science, math and statistics to enable discoveries in emerging molecular biology data.
  • Biomedical applications and devices

    Biomedical applications and devices

    Research on novel medical diagnostic tools and therapies with the goal to improve the health outcomes of people in Australia and globally and bridge the gap between clinical physiology and biomedical engineering.
  • Automatic medical image analysis

    Automatic medical image analysis

    Dr Shakes Chandra leads research on automatic medical image analysis. His expertise includes image processing, ML, discrete tomography and medical image analysis.
  • Digital pathology

    Digital pathology

    Prof. Brian Lovell leads UQ’s Digital Pathology team. The team aims to develop technologies that make pathology workflows faster and more efficient.
  • AI/ML and accelerometry devices

    AI/ML and accelerometry devices

    Prof. Simon Smith leads the Sleep and Health Group, with the broad aim to bridge the biological and social sciences for community benefit.
  • Medical imaging

    Medical imaging

    Professor Stuart Crozier’s expertise lies in imaging technology and applications instrumentation for physiological measurement and semi-automated diagnostics.

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