AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Canada

Showing 141 to 150 of 182 articles

Clear Filters

Automatic gender detection of dream reports: A promising approach.

Consciousness and cognition
A computer program was developed in an attempt to differentiate the dreams of males from females. Hypothesized gender predictors were based on previous literature concerning both dream content and written language features. Dream reports from home-co...

tcTKB: an integrated cardiovascular toxicity knowledge base for targeted cancer drugs.

AMIA ... Annual Symposium proceedings. AMIA Symposium
Targeted cancer drugs are often associated with unexpectedly high cardiovascular (CV) adverse events. Systematic approaches to studying CV events associated with targeted anticancer drugs have high potential for elucidating the complex pathways under...

Regulating Innovation: Addressing the Challenges of Canada's Health-Tech Sector.

Studies in health technology and informatics
The Canadian health-tech sector faces regulatory challenges amidst rapid innovations in artificial intelligence (AI), digital health, biotechnology, and medical devices. This paper explores the regulatory landscape based on stakeholder interviews and...

Competing Visions for the Soul of Canada's Health and Healthcare System.

Studies in health technology and informatics
Canada's healthcare system faces a critical choice between two futures: "Cyborgville," driven by advanced medical technologies and AI, or a wellness-focused approach inspired by Blue Zones, which emphasize healthy lifestyles and environments. This co...

System Dynamics Modeling for Diabetes Treatment and Prevention Planning.

Studies in health technology and informatics
The increasing prevalence of preventable chronic disease in Canada poses significant challenges to both healthcare budgets and individual financial stability. New treatments and predictive technologies are creating an urgent need to evaluate the impa...

Exploring Prediabetes Pathways Using Explainable AI on Data from Electronic Medical Records.

Studies in health technology and informatics
This study leverages data from a Canadian database of primary care Electronic Medical Records to develop machine learning models predicting type 2 diabetes mellitus (T2D), prediabetes, or normoglycemia. These models are used as a basis for extracting...

Synthetic Generation of Patient Service Utilization Data: A Scalability Study.

Studies in health technology and informatics
To address privacy and ethical issues in using health data for machine learning, we evaluate the scalability of advanced synthetic data generation methods like GANs, VAEs, copulaGAN, and transformer models specifically for patient service utilization...

Deep Learning Models for Health-Driven Forecasting of Indoor Temperatures in Heat Waves in Canada: An Exploratory Study Using Smart Thermostats.

Studies in health technology and informatics
In Canada, extreme heat occurrences present significant risks to public health, particularly for vulnerable groups like older individuals and those with pre-existing health conditions. Accurately predicting indoor temperatures during these events is ...

Predicting Diabetes in Canadian Adults Using Machine Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Rising diabetes rates have led to increased healthcare costs and health complications. An estimated half of diabetes cases remain undiagnosed. Early and accurate diagnosis is crucial to mitigate disease progression and associated risks. This study ad...

Identifying Prediabetes in Canadian Populations Using Machine Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Prediabetes is a critical health condition characterized by elevated blood glucose levels that fall below the threshold for Type 2 diabetes (T2D) diagnosis. Accurate identification of prediabetes is essential to forestall the progression to T2D among...