AIMC Topic: Ontario

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Comparing an Artificial Neural Network to Logistic Regression for Predicting ED Visit Risk Among Patients With Cancer: A Population-Based Cohort Study.

Journal of pain and symptom management Feb 21, 2020
CONTEXT: Prior work using symptom burden to predict emergency department (ED) visits among patients with cancer has used traditional statistical methods such as logistic regression (LR). Machine learning approaches for prediction, such as artificial ...
Cohort Studies Ontario Logistic Models Emergency Service, Hospital Humans Neural Networks, Computer Neoplasms
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Natural Language Processing of Radiology Reports in Patients With Hepatocellular Carcinoma to Predict Radiology Resource Utilization.

Journal of the American College of Radiology : JACR Mar 2, 2019
OBJECTIVE: Radiology is a finite health care resource in high demand at most health centers. However, anticipating fluctuations in demand is a challenge because of the inherent uncertainty in disease prognosis. The aim of this study was to explore th...
Natural Language Processing Area Under Curve Research Report Radiology Information Systems Liver Neoplasms Carcinoma, Hepatocellular Ontario Predictive Value of Tests Radiology Department, Hospital Tomography, X-Ray Computed Female Aged Sensitivity and Specificity Male Middle Aged Health Resources ROC Curve Humans Machine Learning Databases, Factual Retrospective Studies
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Sensor-based machine learning for workflow detection and as key to detect expert level in laparoscopic suturing and knot-tying.

Surgical endoscopy Feb 21, 2019
INTRODUCTION: The most common way of assessing surgical performance is by expert raters to view a surgical task and rate a trainee's performance. However, there is huge potential for automated skill assessment and workflow analysis using modern techn...
Workflow Silicon Suture Techniques Models, Anatomic Humans Neural Networks, Computer Machine Learning Clinical Competence Algorithms Ontario Decision Trees Laparoscopy
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Associations between management practices and within-pen prevalence of calf diarrhea and respiratory disease on dairy farms using automated milk feeders.

Journal of dairy science Dec 28, 2017
Data on management practices used with automated milk feeders (AMF) are needed to identify factors associated with calf health in these systems. The objectives of this observational, longitudinal, cross-sectional study were to estimate the prevalence...
Feeding Methods Respiratory Tract Diseases Selenium Animals, Newborn Cattle Ontario Animals Diarrhea Dairying Prevalence Longitudinal Studies Vitamin E Cattle Diseases Animal Husbandry Probiotics Weaning Female Farms Milk Risk Factors Cross-Sectional Studies
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Evaluation of knowledge-based reconstruction for magnetic resonance volumetry of the right ventricle after arterial switch operation for dextro-transposition of the great arteries.

The international journal of cardiovascular imaging Jun 2, 2016
Right ventricular (RV) volume and function evaluation is essential in the follow-up of patients after arterial switch operation (ASO) for dextro-transposition of the great arteries (d-TGA). Cardiac magnetic resonance (CMR) imaging using the Simpson's...
Time Factors Ontario Treatment Outcome Predictive Value of Tests Anatomic Landmarks Feasibility Studies Ventricular Dysfunction, Right Heart Ventricles Female Reproducibility of Results Male Adolescent Humans Retrospective Studies Knowledge Bases Magnetic Resonance Imaging, Cine Image Interpretation, Computer-Assisted Arterial Switch Operation Observer Variation Hypertrophy, Right Ventricular Transposition of Great Vessels Ventricular Function, Right
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Mapping real-time air pollution health risk for environmental management: Combining mobile and stationary air pollution monitoring with neural network models.

Journal of environmental management Dec 17, 2015
Air pollution poses health concerns at the global scale. The challenge of managing air pollution is significant because of the many air pollutants, insufficient funds for monitoring and abatement programs, and political and social challenges in defin...
Particulate Matter Nitrogen Dioxide Humans Neural Networks, Computer Urban Health Risk Assessment Ontario Predictive Value of Tests Models, Theoretical Air Pollutants Environmental Monitoring Air Pollution
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Development of Multivariable Prediction Models for 30-Day Risk of Readmission After COPD Hospital Admission: A Retrospective Cohort Study Using Electronic Medical Record Data from 7 Hospitals.

Studies in health technology and informatics Aug 7, 2025
BACKGROUND: Approximately 20% of patients who are discharged from hospital for an acute exacerbation of COPD (AECOPD) are readmitted within 30 days. Prediction scores are helpful to identify those who are at higher risk of readmission, such that they...
Retrospective Studies Electronic Health Records Female Risk Factors Humans Risk Assessment Ontario Canada Patient Readmission Aged Pulmonary Disease, Chronic Obstructive Male Middle Aged
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Air quality monitoring and mitigation through time series forecasting and stochastic optimization.

Journal of environmental management Aug 1, 2025
Poor air quality poses significant threats to public health and environmental sustainability. To mitigate such risks, accurate air quality prediction is essential to inform intervention policies that effectively reduce pollutant levels. While past re...
Air Pollution Particulate Matter Stochastic Processes Forecasting Machine Learning Ontario Environmental Monitoring Air Pollutants
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A Guide for Implementing an A.I-Driven Initiative in Rural Northern Ontario.

Studies in health technology and informatics Feb 18, 2025
Diagnosing pulmonary embolism (PE) often requires specialized expertise in interpreting x-rays and radiographic images, resources that are mostly limited in rural settings. This paper explores the development of an electronic health record (EHR) syst...
Decision Support Systems, Clinical Pulmonary Embolism Humans Rural Health Services Artificial Intelligence Electronic Health Records Ontario
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Empowering Health: Model for Sustainable AI Implementation.

Studies in health technology and informatics Feb 18, 2025
OntarioMD (OMD), a leader in digital health, focuses on harnessing artificial intelligence (AI) technologies to reduce administrative burden and enhance patient care in primary care. Building on 20 years of digital health experience, OMD has establis...
Artificial Intelligence Primary Health Care Ontario Humans
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