OPTICS (Outcome PredicTion in IntraCerebral haemorrhage Study):

OPTICS (Outcome PredicTion in IntraCerebral haemorrhage Study): enhanced outcome prediction through deep learning, a form of artificial intelligence or machine learning, to assist clinician decision-making in patients with stroke due to intracerebral haemorrhage (ICH).

The aim of this study is to develop machine learning software that would be able to assist doctors in providing a more accurate prognosis for Intracerebral Haemorrhagic (ICH) stroke. As part of the study we are looking for people who have either experienced an ICH stroke or have experience as their carers to give their opinions on the use of machine learning to support the prognosis process.

Inclusion criteria:

– Adults (aged 18 or over);

– Have had intracerebral haemorrhage in the past, OR

– Have lived experience as primary carer for an individual with intracerebral haemorrhage;

– English spoken as primary language; ,

– Provision of electronic informed consent;

Exclusion criteria:

– Cognition or communication decline or other disability that prevents participation in a group conversation.

For more information please contact: Darcy Ryan at DRyan@georgeinstitute.org.au