Doctors + AI
“Practising Medicine in the Age of Intelligent Machines”, a new Adelaide University professional short course and micro-credential, in development with Learning Futures and the Faculty of Health and Medical Sciences.
In developmentTranslation
Deployment
Deploying into a working health service requires clinical governance, data sovereignty, safety evaluation and clinician adoption to be worked out alongside the model. Three have been through it in South Australia, with a fourth in development.
Systems in the health service
What deployment actually cost
RAPIDx AI established the clinical-governance and integration pathway that the two current systems are built on. AutoMedic's funded business case projects roughly 58,500 pharmacist hours freed a year, worth more than $3M, and more than 1,300 hospital readmissions avoided.
Earlier translation
The first intracoronary near-infrared fluorescence molecular imaging of atherosclerosis in a porcine model (JACC: Cardiovascular Imaging, 2016). Co-author of the PRIME checklist for evaluating cardiovascular imaging machine learning (2021), cited internationally as a standard.
Education and outreach
Clinical education
Adoption depends on clinicians being able to appraise these tools, so a large part of the work is teaching practising doctors to evaluate AI critically.
Clinician training
CSANZ Heart School keynote on real-world AI in cardiology (2025); ANZSGM annual scientific meeting plenary (2026); Royal Adelaide Hospital Grand Rounds (2025, 2026); education for GPs on appropriate use and referral.
OngoingStudents and imaging staff
About 50 medical students a year on cardiology rotations at the Royal Adelaide Hospital, supervision of cardiology fellows, and more than fifty radiographers and echocardiography technicians trained in cardiac imaging since 2017.
Since 2017Committees
Society of Cardiovascular Computed Tomography Education Committee (2026–); ESC Working Group on e-Cardiology; Publications Committee of the Society for Cardiovascular Magnetic Resonance to 2024.
CurrentInvited talks since 2024
- Four invited talks at ESC AI 2025, including large language models and vision-language models in cardiovascular medicine.
- Keynote at an industry imaging symposium, Sydney, 2025.
- Closing keynote, Spring into Clinical Trials, 2025.
- Plenaries for SA Health, Cancer Australia and BioMelbourne, 2024; National Imaging Facility ASM, 2025.
Networks and editorial roles
AIML is a member of ACAIM, the Global Alliance of AI Centres in Medicine, a monthly network that includes Stanford, Mayo Clinic, Cleveland Clinic and Bern. Johan Verjans is AIML's representative in it.
Editorial board of European Heart Journal – Digital Health and Frontiers in Cardiovascular Medicine. Reviewing for JACC, the European Heart Journal and Nature journals, and for CVPR, NeurIPS, ICCV and ECCV.