AIMC Topic: Australia

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Generative AI may create a socioeconomic tipping point through labour displacement.

Scientific reports
Work is fundamental to societal prosperity and mental health, providing financial security, a sense of identity and purpose, and social integration. Job insecurity, underemployment and unemployment are well-documented risk factors for mental health i...

Development of Machine Learning-Based Risk Prediction Models to Predict Rapid Weight Gain in Infants: Analysis of Seven Cohorts.

JMIR public health and surveillance
BACKGROUND: Rapid weight gain (RWG) during infancy, defined as an upward crossing of one centile line on a weight growth chart, is highly predictive of subsequent obesity risk. Identification of infant RWG could facilitate obesity risk assessment fro...

Temporal variability in temperate mesophotic ecosystems revealed with over a decade of monitoring with an autonomous underwater vehicle.

Marine environmental research
Rocky reef temperate mesophotic ecosystems (TMEs) are increasingly recognised for their spatial extent and high biodiversity. Platforms such as autonomous underwater vehicles (AUVs) allow large-scale collection of benthic imagery, facilitating descri...

A thematic analysis of what Australians state would change their minds on climate change.

Scientific reports
What do Australians believe would change their current opinions about climate change? In this study, we used audience segmentation analysis through the Six Americas Short Survey to identify groups of climate opinion holders within a representative sa...

Impact of using an AI scribe on clinical documentation and clinician-patient interactions in allied health private practice: perspectives of clinicians and patients.

Musculoskeletal science & practice
BACKGROUND: The burden associated with clinical documentation can negatively impact patient care and job satisfaction amongst allied health professionals (AHPs). Digital scribes based on artificial intelligence (AI) may address these issues, but this...

Identifying and addressing challenges in gross pollutant trap maintenance: perspectives from the Australian stormwater industry.

Marine pollution bulletin
A common approach to removing pollution from stormwater is through the installation of gross pollutant traps (GPTs). However, GPTs are often not maintained effectively, leading to pollution accumulation and additional pollution bypassing into natural...

The use of AI large language models by university students for assignment preparation.

Advances in physiology education
Using an opportunity where students were explicitly permitted to use artificial intelligence (AI) applications to prepare an assignment, we compared the practices and beliefs of two distinct student cohorts: second-year science students at a large me...

Attributional patterns toward students with and without learning disabilities: Artificial intelligence models vs. trainee teachers.

Research in developmental disabilities
This study explored differences in the attributional patterns of four advanced artificial intelligence (AI) Large Language Models (LLMs): ChatGPT3.5, ChatGPT4, Claude, and Gemini) by focusing on feedback, frustration, sympathy, and expectations of fu...

Evaluating the role of AI chatbots in patient education for abdominal aortic aneurysms: a comparison of ChatGPT and conventional resources.

ANZ journal of surgery
BACKGROUNDS: Abdominal aortic aneurysms (AAA) carry significant risks, yet patient understanding is often limited, with online resources typically low quality. ChatGPT, an artificial intelligence (AI) chatbot, presents a new frontier in patient educa...