Artificial Intelligence (AI)-supported real-time assessment of ventilation and blood-flow ratio in lungs.

August 2020

COVID-19 patients have a poor gas exchange in the lungs where the lungs may be easy to ventilate but do not match blood flow. This mismatch of ventilation and blood perfusion (V/Q ratio) affects the delivery of oxygen around the body and the excretion of carbon dioxide. If not treated optimally respiratory-failure may ensue - the main cause of COVID-19-related mortality. This Advance Queensland Industry Research Fellowship project led by Dr Aida Brankovic with UQ's School of Information Technology and Electrical Engineering will develop a bedside AI-supported tool based on electromagnetic technology for real-time assessment of gas exchange. It will dynamically image lung fluid, the amount of blood and gas in the lungs. This will allow repeat bedside scanning that minimises toxic exposures and movement of critical and infectious patients for ventilation/perfusion lung scans.

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About the exhibition

The 2012–2018 Art meets Science Exhibitions provided an opportunity for artists from across South East Queensland to join the artists participating in the Artist in Residence Science program in showcasing their recent artworks that demonstrate a strong art-science connection. Find out more about the artists and artworks featured in these exhibitions in the 2015-2018 Art meets Science exhibition catalogues.