AIMC Topic: New Zealand

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Improving neural network classification of indigenous forest in New Zealand with phenological features.

Journal of environmental management Apr 23, 2022
Accurate and up-to-date land cover maps inform and support effective management and policy decisions. Describing phenological changes in spectral response using time-series data may help to distinguish vegetation types, thereby allowing for more spec...
Neural Networks, Computer New Zealand Forests
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"We're Still Struggling a Bit to Actually Figure Out What That Means for Government": An Exploration of the Policy Capacity Required to Oversee Robot Technologies in Australia and New Zealand Care Services.

International journal of environmental research and public health Apr 13, 2022
Many countries are experiencing a "care crisis" driven by increasing demand for care services alongside difficulties in recruiting and retaining an appropriate care workforce. One of the solutions offered to this is the use of robotic technologies. W...
Robotics New Zealand Government Policy Australia
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Automated pneumothorax triaging in chest X-rays in the New Zealand population using deep-learning algorithms.

Journal of medical imaging and radiation oncology Feb 27, 2022
INTRODUCTION: The primary aim was to develop convolutional neural network (CNN)-based artificial intelligence (AI) models for pneumothorax classification and segmentation for automated chest X-ray (CXR) triaging. A secondary aim was to perform interp...
Pneumothorax New Zealand Radiography, Thoracic X-Rays Humans Artificial Intelligence Algorithms Deep Learning Triage
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Coastal Image Classification and Pattern Recognition: Tairua Beach, New Zealand.

Sensors (Basel, Switzerland) Nov 5, 2021
The study of coastal processes is critical for the protection and development of beach amenities, infrastructure, and properties. Many studies of beach evolution rely on data collected using remote sensing and show that beach evolution can be charact...
New Zealand Neural Networks, Computer Algorithms
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THEIA™ development, and testing of artificial intelligence-based primary triage of diabetic retinopathy screening images in New Zealand.

Diabetic medicine : a journal of the British Diabetic Association Sep 27, 2020
AIM: To develop and evaluate an artificial intelligence triage system with high sensitivity for detecting referable diabetic retinopathy and maculopathy, while maintaining high specificity for non-referable disease, for clinical implementation within...
Sensitivity and Specificity Male Middle Aged Aged, 80 and over Young Adult Adult Diabetes Mellitus Mass Screening Triage Adolescent Child Image Processing, Computer-Assisted Diabetic Retinopathy Artificial Intelligence Algorithms Implementation Science New Zealand Retina Humans Retrospective Studies Female Aged
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Comparison of Support Vector Machine, Naïve Bayes and Logistic Regression for Assessing the Necessity for Coronary Angiography.

International journal of environmental research and public health Sep 4, 2020
(1) Background: Coronary angiography is considered to be the most reliable method for the diagnosis of cardiovascular disease. However, angiography is an invasive procedure that carries a risk of complications; hence, it would be preferable for an ap...
Humans Artificial Intelligence Algorithms Cross-Sectional Studies Logistic Models Support Vector Machine New Zealand Bayes Theorem Iran Coronary Angiography
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A machine learning model for predicting risk of hospital readmission within 30 days of discharge: validated with LACE index and patient at risk of hospital readmission (PARR) model.

Medical & biological engineering & computing Apr 23, 2020
The objective of this study was to design and develop a predictive model for 30-day risk of hospital readmission using machine learning techniques. The proposed predictive model was then validated with the two most commonly used risk of readmission m...
Databases, Factual Female Aged Young Adult Adult Male Humans Machine Learning New Zealand Patient Discharge Patient Readmission Middle Aged Adolescent Models, Theoretical
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A predictive model of recreational water quality based on adaptive synthetic sampling algorithms and machine learning.

Water research Apr 13, 2020
Predicting recreational water quality is one of the most difficult tasks in water management with major implications for humans and society. Many data-driven models have been used to predict water quality indicators to allow a real time assessment of...
Water Quality Support Vector Machine New Zealand Neural Networks, Computer Machine Learning Algorithms Humans
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Towards implementation of AI in New Zealand national diabetic screening program: Cloud-based, robust, and bespoke.

PloS one Apr 10, 2020
Convolutional Neural Networks (CNNs) have become a prominent method of AI implementation in medical classification tasks. Grading Diabetic Retinopathy (DR) has been at the forefront of the development of AI for ophthalmology. However, major obstacles...
Mass Screening New Zealand Fundus Oculi Diabetic Retinopathy Neural Networks, Computer Diabetes Mellitus Retina Humans Cloud Computing
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Characterization of phenolic compounds and aroma active compounds in feijoa juice from four New Zealand grown cultivars by LC-MS and HS-SPME-GC-O-MS.

Food research international (Ottawa, Ont.) Dec 5, 2019
The phenolic compounds and aroma active compounds in feijoa (Acca sellowiana (O.Berg) Burret) juice from four New Zealand grown cultivars (Apollo, Unique, Opal Star, and Wiki Tu) were investigated. A high total phenolic content (maximum 1.89 mg GAE/m...
Odorants Fruit and Vegetable Juices Chromatography, Gas Feijoa Solid Phase Microextraction Chromatography, Liquid Phenols New Zealand Antioxidants Mass Spectrometry
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