Latest AI and machine learning research in primary care for healthcare professionals.
BACKGROUND AND OBJECTIVE: Effective diabetes management requires continuous regulation of blood glucose in response to complex factors such as diet, activity, stress, and medication. Advances in continuous glucose monitoring and machine learning have improved short-term glucose prediction. However, preprocessing of signals like insulin, carbohydrate intake, heart rate, and activity to better captu...
ETHNOPHARMACOLOGICAL RELEVANCE: In Traditional Chinese Medicine (TCM), Dendrobium species have long been utilized to alleviate various inflammatory symptoms, particularly those characterized by Yin deficiency with internal heat and stomach deficiency-heat, including impaired fluid production, dysregulated stomach Qi, and poor appetite. The inflammatory response is regulated by multiple signaling p...
Despite major progress in diagnosis and treatment, cardiovascular disease (CVD) continues to be the leading cause of death worldwide, responsible for ...
This study aimed to determine whether unsupervised machine learning can identify phenotypically distinct subgroups at increased risk for preeclampsia ...
The detection of volatile organic compounds (VOCs) in urine is a noninvasive diagnostic technique with tremendous promise, holding great potential for...
OBJECTIVES: Adrenal tumors can be functional or malignant, yet they are often overlooked in abdominal CT. This study aimed to develop and validate a f...
BACKGROUND: Nearly 250,000 cancer cases are diagnosed annually in Canada, with breast and prostate cancer representing 25% and 22% of new cases, respe...
BACKGROUND: Physical frailty and cognitive frailty are increasingly recognized as critical geriatric syndromes among older adults with diabetes, contr...
OBJECTIVES: Digital technology in primary healthcare service delivery can enhance accessibility, service delivery and health outcomes in rural populat...
Traditional statistical methods have limitations when dealing with high-dimensional, small-sample data. Deep learning methods have attracted widesprea...
Sepsis is a complex systemic inflammatory syndrome that currently lacks stable and specific biomarkers. Multi-omics integration combined with machine ...
BACKGROUND: Diabetic kidney disease (DKD) progresses to end-stage renal disease more rapidly than chronic kidney disease due to persistent hyperglycem...
BACKGROUND: Primary immunodeficiencies (PIDs) are rare disorders caused by immune system defects that are commonly screened using multi-parameter flow...
In recent years, artificial intelligence (AI) has rapidly advanced in the field of oral medicine, with applications extending across disease screening...
RATIONALE AND OBJECTIVES: With the emergence of disease-modifying therapies, precise staging of dementia is urgent. This study aimed to develop a mach...
Femur segmentation is a precursor to image analysis pipelines that evaluate hip bone measures with subject-specific finite element models, but histori...
Covering: up to August 2025Terpenoids constitute nature's largest and most structurally diverse class of natural products, with extensive applications...
Recent advances in digital technology are remarkable, and they are driving profound transformations in healthcare and medical research. Within this co...
BACKGROUND: Artificial intelligence (AI) chatbots are technologies that facilitate human-computer interaction through communication in a natural langu...
BACKGROUND: As artificial intelligence (AI) becomes increasingly embedded in clinical decision-making and preventive care, it is urgent to address eth...