AIMC Topic: Australia
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Applying generative AI with retrieval augmented generation to summarize and extract key clinical information from electronic health records.
Journal of biomedical informatics
Jun 14, 2024
BACKGROUND: Malnutrition is a prevalent issue in aged care facilities (RACFs), leading to adverse health outcomes. The ability to efficiently extract key clinical information from a large volume of data in electronic health records (EHR) can improve ...
Machine learning-based surrogate modelling of a robust, sustainable development goal (SDG)-compliant land-use future for Australia at high spatial resolution.
Journal of environmental management
Jun 5, 2024
We developed a high-resolution machine learning based surrogate model to identify a robust land-use future for Australia which meets multiple UN Sustainable Development Goals. We compared machine learning models with different architectures to pick t...
Achieving large-scale clinician adoption of AI-enabled decision support.
BMJ health & care informatics
May 30, 2024
Computerised decision support (CDS) tools enabled by artificial intelligence (AI) seek to enhance accuracy and efficiency of clinician decision-making at the point of care. Statistical models developed using machine learning (ML) underpin most curren...
Artificial Intelligence and the future of radiotherapy planning: The Australian radiation therapists prepare to be ready.
Journal of medical radiation sciences
Apr 20, 2024
The use of artificial intelligence (AI) solutions is rapidly changing the way radiation therapy tasks, traditionally relying on human skills, are approached by enabling fast automation. This evolution represents a paradigm shift in all aspects of the...
Predicting haemoglobin deferral using machine learning models: Can we use the same prediction model across countries?
Vox sanguinis
Apr 18, 2024
BACKGROUND AND OBJECTIVES: Personalized donation strategies based on haemoglobin (Hb) prediction models may reduce Hb deferrals and hence costs of donation, meanwhile improving commitment of donors. We previously found that prediction models perform ...
How should artificial intelligence be used in Australian health care? Recommendations from a citizens' jury.
The Medical journal of Australia
Apr 17, 2024
OBJECTIVE: To support a diverse sample of Australians to make recommendations about the use of artificial intelligence (AI) technology in health care.
Completion of Pembrolizumab in Advanced Non-Small Cell Lung Cancer-Real World Outcomes After Two Years of Therapy (COPILOT).
Clinical lung cancer
Apr 15, 2024
BACKGROUND: Seminal trials with first-line pembrolizumab for metastatic non-small cell lung cancer (NSCLC) mandated a maximum two-years treatment. We describe real-world outcomes of a multi-site Australian cohort of patients who completed two-years o...
Artificial intelligence is poised to usher in a paradigm shift in surgery: application of ChatGPT in Aotearoa New Zealand and Australia.
ANZ journal of surgery
Apr 14, 2024
Diagnosing glaucoma in primary eye care and the role of Artificial Intelligence applications for reducing the prevalence of undetected glaucoma in Australia.
Eye (London, England)
Mar 21, 2024
Glaucoma is the commonest cause of irreversible blindness worldwide, with over 70% of people affected remaining undiagnosed. Early detection is crucial for halting progressive visual impairment in glaucoma patients, as there is no cure available. Thi...
No shortcuts: False economy prevention during artificial intelligence implementation in rural Australian health care.
The Australian journal of rural health
Mar 20, 2024
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