A5085277076- ECG Monitoring and Analysis
- Diabetes Management and Research
- Obesity, Physical Activity, Diet
- Diet and metabolism studies
- Diabetes and associated disorders
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Diabetes Treatment and Management
- Receptor Mechanisms and Signaling
- Photoreceptor and optogenetics research
- Cardiovascular Disease and Adiposity
- Eating Disorders and Behaviors
- Diet, Metabolism, and Disease
- Pharmacology and Obesity Treatment
- Diabetes Management and Education
Lung Institute
2024-2025
Imperial College London
2024-2025
McMaster University
2023
University of Toronto
2015-2023
Hospital for Sick Children
2015-2018
SickKids Foundation
2015-2018
Abstract Aims Many research databases with anonymised patient data contain electrocardiograms (ECGs) from which traditional identifiers have been removed. We evaluated the ability of artificial intelligence (AI) methods to determine similarity between ECGs and assessed whether they potential be misused re-identify individuals datasets. Methods results utilised a convolutional Siamese neural network (SNN) architecture, derives Euclidean distance metric two input ECGs. A secondary care dataset...
BACKGROUND: Subtle, prognostically important ECG features may not be apparent to physicians. In the course of supervised machine learning, thousands are identified. These limited conventional parameters and morphology. We aimed investigate whether neural network–derived could used predict future cardiovascular disease mortality have phenotypic genotypic associations. METHODS: extracted 5120 from an artificial intelligence–enabled model trained for 6 simple diagnoses applied unsupervised...
Carbohydrate (CHO) counting is a recommended daily practice to help manage blood glucose levels in type 1 diabetes. Evidence suggests that CHO estimates should be within 10 15 g of the actual meal for optimal postprandial control. The objective this study was assess accuracy adolescents with diabetes.Adolescents (aged 12-18 years) diabetes who self-identified as regular counters were recruited from SickKids Diabetes Clinic, Toronto, Canada. Adolescents completed PedsCarbQuiz (PCQ) and...
Abstract Background Conduction disease can manifest as a broad QRS complex on the ECG. Broad is conventionally categorised left bundle branch block (LBBB) and right (RBBB) or non-specific intraventricular conduction delay (IVCD), based morphology. These subgroups were coined over century ago have been relevant for heart failure with reduced ejection fraction cardiac resynchronization therapy (CRT). However, there may be more precise phenogroups underlying complexes. Purpose Using...
Abstract Background The ACC/AHA pooled cohort equations (PCE) calculates the 10-year primary risk of atherosclerotic cardiovascular disease (ASCVD), an indication to initiate prevention statin therapy in international guidelines. validity PCE is limited by its overestimation high-risk cohorts and ethnic heterogeneity. Electrocardiography (ECG) has not been incorporated current ASCVD estimation tools. Artificial Intelligence (AI)-based models are capable capture patterns that informative for...
Abstract Background/Introduction Many research databases contain anonymised electrocardiograms (ECGs) linked to other sensitive information. ECGs hold features unique individuals, potentially enabling subject identification from ECGs. Purpose We assessed if artificial intelligence approaches output ECG pair similarity can re-identify individuals Additionally, we aimed explore clinical risk prediction using over time. Methods used a convolutional Siamese neural network (SNN), with triplet...
Diabetes education includes nutritional and the provision of practical guidelines as to interrelation between insulin requirements carbohydrate intake. Carbohydrate (CHO) counting has therefore been a recommended daily practice help patients manage blood glucose levels in type 1 diabetes (T1D). Evidence suggests that CHO estimates should be within 1015 g actual meal for optimal postprandial control.