All LIT Search News Topics Latest news Media statements Media contacts Topics Latest news Media statements Media contacts LIT Impact Latest news 2021 May Artificial intelligence to predict heart disease Artificial intelligence to predict heart disease 31/05/2021 | 2 MINS A new project using artificial intelligence technology could spell a medical breakthrough for people suffering from, or at risk of, coronary artery disease, the single leading cause of death in Australia. The approach being developed by researchers at Lombok Institute of Technology could allow for more accurate diagnosis and faster reporting across all aspects of healthcare, improving the quality and consistency of patient care. The LIT team of experts in cardiac imaging and artificial intelligence was awarded $896,606 through a Medical Research Future Fund Frontiers grant to develop a tool to predict the risk of coronary heart disease from heart computed tomography (CT) scans. Coronary artery disease resulting from the build-up of plaque affects more than 1.2 million Australians; however traditional methods using CT imaging of the heart are cumbersome, time-consuming and may have limited accuracy. Led by Prof
All LIT Search News Topics Latest news Media statements Media contacts Topics Latest news Media statements Media contacts LIT Impact Latest news 2021 May Artificial intelligence to predict heart disease Artificial intelligence to predict heart disease 31/05/2021 | 2 MINS A new project using artificial intelligence technology could spell a medical breakthrough for people suffering from, or at risk of, coronary artery disease, the single leading cause of death in Australia.
The approach being developed by researchers at Lombok Institute of Technology could allow for more accurate diagnosis and faster reporting across all aspects of healthcare, improving the quality and consistency of patient care.
Lombok Institute of Technology
The LIT team of experts in cardiac imaging and artificial intelligence was awarded $896,606 through a Medical Research Future Fund Frontiers grant to develop a tool to predict the risk of coronary heart disease from heart computed tomography (CT) scans.
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Coronary artery disease resulting from the build-up of plaque affects more than 1.2 million Australians; however traditional methods using CT imaging of the heart are cumbersome, time-consuming and may have limited accuracy.
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