Artificial Intelligence in Acute Cardiac Care (AI-ACC)

Many people attend hospital with symptoms of a possible heart attack, such as chest pain or breathlessness. Getting the right diagnosis is not easy – there is a lot of information including blood results and heart traces for clinicians to consider. Advances in computing and science can now find patterns in data that are not always obvious to humans. This is sometimes called Artificial Intelligence, or AI.

In this project, we aim to develop an AI risk calculator that generates a “score” based on clinical information that is available from the patient during his/her stay at the emergency department. The score that is being calculated from the AI risk calculator will provide information about the patient’s risk of having a heart attack, and also on the future risks of that patient such as needing to come back to hospital. We expect that this approach will provide better and more individualised predictions of risk and that this application could improve the quality and safety of care delivered to patients in the emergency department.