Research

The CardiacAI Project enables collaborative, translational research that seeks to improve the healthcare and outcomes of people living with cardiovascular disease.

The CardiacAI Data Repository is described here:

Data Resource Profile: The Cardiac Analytics and Innovation (CardiacAI) Data Repository 

Research projects, publications and other quality improvement projects that use the CardiacAI Data Repository are listed below.

Funding Sources

The CardiacAI Project was established through in-kind funding from South Eastern Sydney Local Health District and UNSW’s Centre for Big Data Research in Health (CBDRH).

Grants awarded

UNSW Medicine – Cardiac, Vascular and Metabolic Medicine (CVMM) Big Ideas Seed Grant

Cardiovascular Analytics and Innovation (CVAI) data repository: A big data resource for machine-learning enabled research and health systems quality improvement

$146,384 (2021-2022)

Medical Research Future Fund – Cardiovascular Health Mission

CardiacAI: Deep Learning to predict and prevent secondary cardiovascular events

$544,979 (2022-2024)