AIMC Topic: Australia
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Improvement of pasture biomass modelling using high-resolution satellite imagery and machine learning.
Journal of environmental management
Mar 12, 2024
Robust quantification of vegetative biomass using satellite imagery using one or more forms of machine learning (ML) has hitherto been hindered by the extent and quality of training data. Here, we showcase how ML predictive demonstrably improves when...
Artificial intelligence measured 3D body composition to predict pathological response in rectal cancer patients.
ANZ journal of surgery
Mar 8, 2024
BACKGROUND: The treatment of locally advanced rectal cancer (LARC) is moving towards total neoadjuvant therapy and potential organ preservation. Of particular interest are predictors of pathological complete response (pCR) that can guide personalized...
Predicting successful draft outcome in Australian Rules football: Model sensitivity is superior in neural networks when compared to logistic regression.
PloS one
Feb 29, 2024
Using logistic regression and neural networks, the aim of this study was to compare model performance when predicting player draft outcome during the 2021 AFL National Draft. Physical testing, in-game movement and technical involvements were collecte...
Minimum labelling requirements for dermatology artificial intelligence-based Software as Medical Device (SaMD): A consensus statement.
The Australasian journal of dermatology
Feb 28, 2024
BACKGROUND/OBJECTIVES: Artificial intelligence (AI) holds remarkable potential to improve care delivery in dermatology. End users (health professionals and general public) of AI-based Software as Medical Devices (SaMD) require relevant labelling info...
Radiography students' perceptions of artificial intelligence in medical imaging.
Journal of medical imaging and radiation sciences
Feb 24, 2024
INTRODUCTION: Education relating to Artificial Intelligence (AI) is becoming critical to developing contemporary radiographers. This study sought to investigate the perceptions of a sample of Australian radiography students regarding AI within the co...
Artificial intelligence for surgical services in Australia and New Zealand: opportunities, challenges and recommendations.
The Medical journal of Australia
Feb 6, 2024
Systematic comparison of 3D Deep learning and classical machine learning explanations for Alzheimer's Disease detection.
Computers in biology and medicine
Jan 30, 2024
Black-box deep learning (DL) models trained for the early detection of Alzheimer's Disease (AD) often lack systematic model interpretation. This work computes the activated brain regions during DL and compares those with classical Machine Learning (M...
Validation of a deep learning system for the detection of diabetic retinopathy in Indigenous Australians.
The British journal of ophthalmology
Jan 29, 2024
BACKGROUND/AIMS: Deep learning systems (DLSs) for diabetic retinopathy (DR) detection show promising results but can underperform in racial and ethnic minority groups, therefore external validation within these populations is critical for health equi...
Developing, Purchasing, Implementing and Monitoring AI Tools in Radiology: Practical Considerations. A Multi-Society Statement From the ACR, CAR, ESR, RANZCR & RSNA.
Journal of the American College of Radiology : JACR
Jan 23, 2024
Artificial intelligence (AI) carries the potential for unprecedented disruption in radiology, with possible positive and negative consequences. The integration of AI in radiology holds the potential to revolutionize healthcare practices by advancing ...
Developing, Purchasing, Implementing and Monitoring AI Tools in Radiology: Practical Considerations. A Multi-Society Statement From the ACR, CAR, ESR, RANZCR & RSNA.
Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes
Jan 22, 2024
Artificial Intelligence (AI) carries the potential for unprecedented disruption in radiology, with possible positive and negative consequences. The integration of AI in radiology holds the potential to revolutionize healthcare practices by advancing ...
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