Latest AI and machine learning research in primary care for healthcare professionals.
BACKGROUND & AIMS: Noninvasive tests to identify pediatric metabolic dysfunction-associated steatohepatitis (MASH) remain a critical need. We aimed to develop and validate a screening panel that identifies biopsy-confirmed MASH in children and adolescents using clinical and metabolomics data. METHODS: Fasting serum from youth in NASH CRN studies and healthy participants underwent untargeted metabo...
SMART technological advancements help diagnose, treat, and monitor various diseases at the earliest stages. It presents an opportunity to maintain the key components of conventional obesity management programming while reducing costs and provider time inputs. Various machine learning models have helped predict the risks of obesity and metabolic syndrome. Additionally trained convolutional neural n...
Precision medicine has revolutionized oncology by leveraging biomarkers for individualized therapy selection, early diagnosis, and real-time disease m...
BACKGROUND: Body mass index fails to capture variation in fat and muscle distribution that determines metabolic health and disease risk. MRI enables r...
Accurate longitudinal nodule matching is a critical technical prerequisite for automated growth rate (volume doubling time) assessment in lung cancer ...
Myocardial fibrosis is increasingly recognized as a central determinant of adverse cardiac remodeling and long-term cardiovascular outcomes in childre...
BACKGROUND AND AIMS: N-terminal pro-B-type natriuretic peptide (NT-proBNP) is recommended to guide echocardiography referral in community-based patien...
OBJECTIVE: Variables predicting obesity are not limited to individual-level risk factors. The purpose of this study is to assess multilevel predictors...
IMPORTANCE: Transthyretin amyloid cardiomyopathy (ATTR-CM) is a treatable cause of heart failure, but diagnosis is often delayed. Accessible tools to ...
Microphysiological immune-on-chip systems have emerged as transformative biomedical microdevices capable of recreating the structural, biochemical, an...
PURPOSE OF REVIEW: To provide a review of current transcatheter interventions in women with congenital heart disease, with a focus on sex-specific con...
Discerning subtle structural differences among highly similar small molecules remains a major challenge for synthetic receptors. Natural olfactory sys...
Molecular docking is a critical step in drug development, enabling the virtual screening of compound libraries to identify potential ligands for speci...
INTRODUCTION: Chronic kidney disease (CKD) disproportionately burdens non-Hispanic Black (NHB) patients who experience a three- to four-fold higher ri...
OBJECTIVE: To develop and validate a predictive tool to estimate the risk of ovarian cancer in a screening setting. METHODS: Machine learning was leve...
Bangladesh experiences some of the highest ambient PM2.5 concentrations globally and remains one of the most monitoring-sparse high-burden regions. To...
Childhood visual impairment and blindness remain major public health concerns in low- and middle-income countries (LMICs), despite a substantial propo...
BACKGROUND: RETFound, a self-supervised retina-specific foundation model, has shown potential in downstream tasks, but its performance in comparison w...
BACKGROUND: The triglyceride-to-high-density lipoprotein cholesterol (TG/HDL-C) ratio and triglyceride glucose-body mass (TyG-BMI) index are reliable ...
Systematic reviews (SRs) are key to evidence-based medicine but are often labor-intensive, especially in the study selection step. This study assessed...