Latest AI and machine learning research in primary care for healthcare professionals.
Paroxysmal nocturnal haemoglobinuria (PNH) is a rare, life-threatening hematologic disease with diagnostic delays exceeding 5 years in 24% of cases. We developed and deployed an artificial intelligence algorithm analyzing structured and unstructured electronic health record data across 14 healthcare organizations in Poland. Screening of 1,307,140 patients identified 356 high-risk individuals; of 1...
To construct and validate a machine learning (ML) model for predicting diabetes risk in COPD patients, enabling early and personalized intervention. Using data from the MIMIC-IV database, 49 variables were screened by LASSO and logistic regression. Six ML algorithms were constructed and internally validated on a 70%/30% split dataset. Model performance was assessed using multiple metrics, followed...
Early detection of chronic kidney disease (CKD) is a critical public health priority. However, a gap exists for non-invasive tools to guide screening ...
BACKGROUND: Patients with type 2 diabetes mellitus (T2DM) prone to acute diabetic complications are at high risk for emergency department (ED) visits,...
Attention-deficit/hyperactivity disorder (ADHD) is a common neurodevelopmental condition requiring early and accurate identification to optimize outco...
BACKGROUND: Fentanyl overdose deaths are still increasing across the U.S. Even though the crisis is growing, we still do not fully understand which co...
OBJECTIVE: To systematically evaluate existing risk prediction models for autogenous arteriovenous fistula (AVF) dysfunction in maintenance hemodialys...
BACKGROUND: Breast cancer (BC) and atrial fibrillation (AF) represent increasing global health burdens with shared risk factors. However, their coinci...
Artificial intelligence (AI) enables automated, high-throughput adiposity quantification, offering refined risk stratification for women with overweig...
Viral infections are a major contributor to global cancer incidence and mortality. However, integrative reviews that connect viral classification, car...
A dysfunctional bi-directional signalling of plural neural networks expresses distinct metabolic disruption with mental health consequences in obesity...
OBJECTIVE: Lung cancer is a major global public health concern. Non-small cell lung cancer (NSCLC), the most common subtype, has drawn increasing atte...
BACKGROUND: Anemia management in hemodialysis (HD) depends on individualized erythropoiesis-stimulating agent (ESA) dosing to achieve and maintain tar...
BACKGROUND: Obstructive sleep apnea (OSA) affects 38% of the population, yet over 90% of cases remain undiagnosed. The gold standard for diagnosis, po...
BACKGROUND: Medical adherence is traditionally defined as the extent to which a person's behavior corresponds with agreed-upon recommendations from a ...
BACKGROUND: Diabetic foot ulcers (DFU) are serious complications of diabetes that contribute substantially to morbidity, mortality, and health care bu...
BACKGROUND: Demographic shifts are increasing the global demand for long-term care services, coinciding with a worldwide shortage of health care perso...
Lead-free multicomponent oxide glasses are attractive candidates for gamma-ray shielding because their attenuation behavior can be tuned through compo...
Plasticizer exposure has been associated with gestational diabetes mellitus (GDM), but the placental toxicogenomic mechanisms that may connect environ...
AIMS: We examined whether phenotypic age (PhenoAge) acceleration was associated with the incidence and progression of diabetic retinopathy (DR) and di...