Latest AI and machine learning research in primary care for healthcare professionals.
BACKGROUND: The poor prognosis of cholangiocarcinoma (CCA) is largely driven by rapid, asymptomatic disease progression, which usually results in a late diagnosis in the absence of established screening strategies. An early, cost-effective, and universally applicable risk assessment strategy would therefore be valuable. METHODS: We developed machine learning (ML) models on prospective, multimodal ...
Thalassemia is still challenging to diagnose due to heterogeneous genotypes, overlapping hematologic phenotypes (e.g., other anemias), and limited access to standardized molecular testing. Current methods of diagnosis, like complete blood count (CBC) indices, smear analysis, electrophoresis/high-performance liquid chromatography (HPLC), and targeted genetics, work effectively in the clinic. Howeve...
BACKGROUND: Current risk scores for sudden cardiac death (SCD) in hypertrophic cardiomyopathy (HCM) have limited ability to identify high-risk subgrou...
PURPOSE: This study aimed to identify the signature genes that mediate the effects of type 2 diabetes (T2D) on coronary artery bypass grafting (CABG),...
ETHNOPHARMACOLOGICAL RELEVANCE: Baiyaozi, the dried tuberous root of Stephania cepharantha Hayata, has long been used in traditional Chinese medicine ...
INTRODUCTION: Professional voice users face an elevated risk of vocal injury from sustained occupational voice use, yet scalable tools for workplace s...
In recent years, high dimensional omics analyses have become more commonplace for investigating complex biological systems. Typically, these studies a...
Childhood anemia remains a major public health challenge in Sub-Saharan Africa, adversely affecting physical growth, cognitive development, and child ...
BACKGROUND: Prior obesity neuroimaging studies used univariate methods and small samples, limiting reproducibility. Employing a large-scale dataset an...
INTRODUCTION: Adolescent Idiopathic Scoliosis (AIS) affects 2-4% of adolescents globally. Current screening methods face challenges, including high fa...
AIMS: To develop and validate a machine learning model incorporating continuous glucose monitoring (CGM) metrics to predict 3-month glycemic target ac...
BACKGROUND/AIMS: The growing use of generative artificial intelligence, especially chatbots, has motivated researchers to test the accuracy of health ...
Vertebral compression fractures (VCFs) represent the most prevalent osteoporotic fracture and constitute a growing cause of morbidity, mortality, and ...
Background: Endometriosis affects 10% of reproductive-aged women globally and is one of the major causes of infertility. It is a debilitating, chronic...
BACKGROUND: Chagas disease (ChD), a neglected cardiovascular condition, affects 7.5 to 10.5 million people worldwide. Opportunistic screening during r...
BACKGROUND: Risk prediction is fundamental to pulmonary hypertension (PH) guideline-based care, yet pediatric-specific risk prediction models remain l...
OBJECTIVE: This narrative review aims to identify and evaluate the available scientific literature on digital technologies assisting clinicians in per...
Glucocorticoids are prohibited in cosmetics due to health risks, yet illegal additions persist through structural modifications that evade conventiona...
Robot-assisted ophthalmic surgery has undergone rapid development in recent decades. Robot-assisted ophthalmic surgery, as examined through bibliometr...
Digital technologies are increasingly used to extend the anatomical, functional, and procedural information available in robot-assisted urology, but t...