Victor Chang Cardiac Research Institute has developed an AI-powered application, HeartSight, to support assessment of aortic stenosis, a common form of heart valve disease. The institute said early pilot results indicate the tool reduced diagnosis time by more than 80% and cut imaging data volumes by around 95%.
HeartSight is being built using Oracle AI Database 26ai and Oracle Cloud Infrastructure (OCI) Data Science. According to the release, the application is designed to automate echocardiogram video analysis, with clinicians uploading videos and patient parameters for processing.
The institute said the workflow uses OCI Storage for data storage and OCI Data Science to remove patient identity information, with a focus on governance, reproducibility and auditability to support clinical research and potential diagnostic use.
Associate Professor Mayooran Namasivayam, head of the Heart Valve Disease and Artificial Intelligence Laboratory at the institute, said the pilot results were encouraging and that the team intended to pursue a full validation pathway before broader deployment.
Oracle regional managing director for Australia and New Zealand Stephen Bovis said the project aimed to shift from manual analysis toward “AI-augmented insight” in clinical workflows.
Oracle Consulting Australia is the implementation partner.
