AIMC Topic: Canada

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From Policy to Prediction: Assessing Forecasting Accuracy in an Integrated Framework with Machine Learning and Disease Models.

Journal of computational biology : a journal of computational molecular cell biology Aug 2, 2024
To improve the forecasting accuracy of the spread of infectious diseases, a hybrid model was recently introduced where the commonly assumed constant disease transmission rate was actively estimated from enforced mitigating policy data by a machine le...
Humans SARS-CoV-2 Canada United States Bayes Theorem Machine Learning COVID-19 Forecasting
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An Approach to Potentially Increasing Adoption of an Artificial Intelligence-Enabled Electronic Medical Record Encounter in Canadian Primary Care: Protocol for a User-Centered Design.

JMIR research protocols Jul 18, 2024
BACKGROUND: Primary care physicians are at the forefront of the clinical process that can lead to diagnosis, referral, and treatment. With electronic medical records (EMRs) being introduced and, over time, gaining acceptance by primary care users, th...
Humans Artificial Intelligence Primary Health Care Electronic Health Records Canada User-Centered Design
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Predicting subacute ruminal acidosis from milk mid-infrared estimated fatty acids and machine learning on Canadian commercial dairy herds.

Journal of dairy science Jul 4, 2024
Our objective was to validate the possibility of detecting SARA from milk Fourier transform mid-infrared spectroscopy estimated fatty acids (FA) and machine learning. Subacute ruminal acidosis is a common condition in modern commercial dairy herds fo...
Milk Animals Acidosis Cattle Rumen Machine Learning Cattle Diseases Female Canada Fatty Acids
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Artificial intelligence, robotics, and automation viewed through the context of the previous four decades.

Healthcare management forum Jun 13, 2024
Computers and applications of computers into our world have changed dramatically during the past five decades, from early days of minimal central processing unit capacity, limited memory and without advantage of global networking. In this article, th...
Canada Robotics Automation Humans Artificial Intelligence
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Towards abundant intelligences: Considerations for Indigenous perspectives in adopting artificial intelligence technology.

Healthcare management forum Jun 3, 2024
Artificial Intelligence (AI) applications in healthcare are evolving rapidly. The integration of AI into the Canadian healthcare system has demonstrated significant potential for enhancing the efficiency of care and improving patient outcomes. Howeve...
Humans Health Services, Indigenous Artificial Intelligence Canada Indigenous Peoples
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Understanding the integration of artificial intelligence in healthcare organisations and systems through the NASSS framework: a qualitative study in a leading Canadian academic centre.

BMC health services research Jun 3, 2024
BACKGROUND: Artificial intelligence (AI) technologies are expected to "revolutionise" healthcare. However, despite their promises, their integration within healthcare organisations and systems remains limited. The objective of this study is to explor...
Humans Artificial Intelligence Delivery of Health Care Leadership Academic Medical Centers Organizational Culture Organizational Innovation Qualitative Research Interviews as Topic Canada
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Socio-demographic predictors of not having private dental insurance coverage: machine-learning algorithms may help identify the disadvantaged.

BMC public health May 23, 2024
BACKGROUND: For accessing dental care in Canada, approximately 62% of the population has employment-based insurance, 6% have some publicly funded coverage, and 32% have to pay out-of pocket. Those with no insurance or public coverage find dental care...
Algorithms Female Aged Cross-Sectional Studies Male Young Adult Sociodemographic Factors Adult Ontario Insurance Coverage Humans Canada Insurance, Dental Middle Aged Machine Learning Socioeconomic Factors Vulnerable Populations Health Services Accessibility Adolescent
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Development of a long noncoding RNA-based machine learning model to predict COVID-19 in-hospital mortality.

Nature communications May 20, 2024
Tools for predicting COVID-19 outcomes enable personalized healthcare, potentially easing the disease burden. This collaborative study by 15 institutions across Europe aimed to develop a machine learning model for predicting the risk of in-hospital m...
Cohort Studies Hospital Mortality Canada Adult Europe Male SARS-CoV-2 RNA, Long Noncoding Middle Aged Aged Aged, 80 and over COVID-19 Humans Female Machine Learning
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Machine learning in epidemiology: Neural networks forecasting of monkeypox cases.

PloS one May 1, 2024
This study integrates advanced machine learning techniques, namely Artificial Neural Networks, Long Short-Term Memory, and Gated Recurrent Unit models, to forecast monkeypox outbreaks in Canada, Spain, the USA, and Portugal. The research focuses on t...
United States Algorithms Mpox, Monkeypox Epidemiological Models Humans Forecasting Portugal Canada Neural Networks, Computer Machine Learning
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Deep learning approach for cardiovascular disease risk stratification and survival analysis on a Canadian cohort.

The international journal of cardiovascular imaging Apr 28, 2024
The quantification of carotid plaque has been routinely used to predict cardiovascular risk in cardiovascular disease (CVD) and coronary artery disease (CAD). To determine how well carotid plaque features predict the likelihood of CAD and cardiovascu...
Carotid Artery Diseases Carotid Intima-Media Thickness Carotid Arteries Plaque, Atherosclerotic Male Female Time Factors Decision Support Techniques Coronary Angiography Middle Aged Heart Disease Risk Factors Risk Factors Canada Prognosis Coronary Artery Disease Aged Image Interpretation, Computer-Assisted Humans Predictive Value of Tests Risk Assessment Deep Learning
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