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 Au...
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Summaries of the latest clinical AI news, research, and bedside-ready insights — curated to help bring the power of AI to patients safely and ethically.
Featured articles
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 gu...
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‘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 ...
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Recent publications
‘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 ...
Read article →
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 gu...
Read article →
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.
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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.
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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.
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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 reg...
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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 e...
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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.
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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 edu...
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