Latest AI and machine learning research in primary care for healthcare professionals.
Linear $L_1$-regularized models have remained one of the simplest and most effective tools in data...
Background: Recruitment for cohorts involving complex liver diseases, such as hepatocellular carci...
Diabetic macular ischemia (DMI), marked by the loss of retinal capillaries in the macular area, co...
Modeling disease progression through multiple stages is critical for clinical decision-making for ...
Using methylation characteristics of human genes to construct machine learning predictive models fo...
Mental health remains a challenging problem all over the world, with issues like depression, anxie...
Early diagnosis of Alzheimer's Disease (AD) faces multiple data-related challenges, including high...
Volume Interpolated Breath-Hold Examination (VIBE) MRI generates images suitable for water and fat...
Patient-specific modeling is a valuable tool in cardiovascular disease research, offering insights...
Managing Type 1 Diabetes (T1D) demands constant vigilance as individuals strive to regulate their ...
This study examines the potential causal relationship between head injury and the risk of developi...
The increasing prevalence of preventable chronic disease in Canada poses significant challenges to b...
Canada's healthcare system faces a critical choice between two futures: "Cyborgville," driven by adv...
Access to health resources is a critical determinant of public well-being and societal resilience,...
The removal of leaked radioactive iodine isotopes in humid environments holds significant importan...
The Internet of Things (IoT) revolutionizes smart city domains such as healthcare, transportation,...
The recent increase in morbidity is primarily due to chronic diseases including Diabetes, Heart di...
Cervical cancer is a leading malignancy in female reproductive system. While AI-assisted cytology ...
As CT imaging is increasingly used for the evaluation of lung nodules and the diagnosis and screenin...
Machine learning (ML) transforms healthcare by enabling predictive analytics, personalized treatme...
Screening is a time-consuming and labour-intensive yet required task for medical systematic review...