The Latest Med AI

‘Real time, real change’: the role of artificial intelligence in providing real-time language translation services in regional medicine
‘Real time, real change’: the role of artificial intelligence in providing real-time language translation services in regional medicine
A new paper published in the Internal Medicine Journal tackles a problem that doesn't get nearly enough attention — language barriers in regional Australian healthcare. With over 23% of Australians... Read more...
From paper to pocket: artificial intelligence and local cardiology guideline implementation
From paper to pocket: artificial intelligence and local cardiology guideline implementation
We are proud to announce a new publication commenting on the role of artificial intelligence in the field of medicine and specifically guidelines. We focused on the utility of AI... Read more...
Unlocking the Potential of Virtual Cardiac Rehabilitation
Unlocking the Potential of Virtual Cardiac Rehabilitation
Virtual cardiac rehab brings recovery to rural Australians. Improve completion, reduce readmissions, and make rehab accessible from home. Read more...
Predicting the Emergency Department Patient Journey Using Machine Learning
Predicting the Emergency Department Patient Journey Using Machine Learning
Predict ED patient journeys with AI. Forecast admissions, imaging needs, and prolonged stays to reduce overcrowding and improve care. Read more...
Predicting Hypotension Before It Hits the Highway in Rural Anaesthesia
Predicting Hypotension Before It Hits the Highway in Rural Anaesthesia
Predict hypotension in rural anaesthesia using AI. Reduce risks, avoid unnecessary transfers, and give clinicians crucial early warnings. Read more...
When One Size Does Not Fit All: AI in Rural Australian Health
When One Size Does Not Fit All: AI in Rural Australian Health
A commentary in the Australian Journal of Rural Health explains why urban AI models fail in rural healthcare and how to tailor AI for regional Australia. Read more...
LLMs Provide Accurate Feedback for Neurology Case-Based Learning
LLMs Provide Accurate Feedback for Neurology Case-Based Learning
A BMJ Neurology Open study shows large language models can deliver neurology case-based learning feedback equal to or better than human experts. Read more...
LLMs in Medical Education: Interactive Learning & Rapid Feedback
LLMs in Medical Education: Interactive Learning & Rapid Feedback
Research in Heart, Lung and Circulation shows how large language models turn static medical cases into accurate, interactive learning tools. Read more...
ChatGPT-Based Learning: Generative AI in Medical Education
ChatGPT-Based Learning: Generative AI in Medical Education
A Medical Science Educator perspective explores how ChatGPT and large language models are transforming case-based learning in medical education. Read more...
Charting the Course: Telehealth Trends in Australia
Charting the Course: Telehealth Trends in Australia
A scoping review in the Internal Medicine Journal maps 23 years of telehealth research in Australia, highlighting growth, gaps, and rural under-representation. Read more...
The Adelaide Score: AI-Driven Hospital Efficiency
The Adelaide Score: AI-Driven Hospital Efficiency
A prospective ANZ Journal of Surgery study shows the Adelaide Score AI reduces hospital length of stay, cuts readmissions by 30%, and saves $9.56M per hospital. Read more...
A “Rising Tide” for AI in Remote Australia: What Late-2025 Research Says We Must Build First
A “Rising Tide” for AI in Remote Australia: What Late-2025 Research Says We Must Build First
A rising tide in AI Late 2025 research in the Australian Journal of Rural Health advanced a “rising tide lifts all boats” argument: if Australia gets implementation right, clinical AI... Read more...