Use of Artificial Intelligence-Guided Echocardiography to assIst cardiovascuLar Patient managEment

Trial statusRecruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexAll
Age45+
SponsorBaker Heart and Diabetes Institute

About this trial

Heart Failure and valvular heart disease are disproportionate problems in rural and remote Australia (RRA). Echocardiography is the best imaging investigation, and essential for management, but access to this essential test shows huge geographic variations, primarily because of dependence on expert acquisition. This trial seeks to demonstrate the effectiveness of artificial intelligence-based echocardiography for triage and management of patients with known or suspected heart disease in RRA.

Eligibility criteria

Qualifiers

Age >45 years

eligible for Medicare

exercise intolerance or cardiovascular (CV) risk factors

Disqualifiers

Known HF or HVD

situations where cardio-protection is already indicated (eg. known CAD)

comorbid conditions with life expectancy <2 years

inability to provide written informed consent

Trial design

Treatments tested in this trial

  • AI-guided echo
  • Standard echo

Treatment groups

612 Participants
are divided into 2 treatment groups

Sponsors and collaborators

Baker Heart and Diabetes Institute

Lead sponsor

Alice Springs Hospital

Collaborator

Princess Alexandra Hospital, Brisbane, Australia

Collaborator

Royal Perth Hospital

Collaborator

Ochre Health

Collaborator

Walgett Aboriginal Medical Services

Collaborator

Merriden Health Service

Collaborator

Royal Hobart Hospital

Collaborator

Quairading Medical Practice

Collaborator