Latest AI and machine learning research in obesity for healthcare professionals.
OBJECTIVES: Kidney stone disease is influenced by environmental, metabolic, and climatic factors. Although sulfur dioxide and environmental heat stress have each been associated with renal dysfunction, their combined long-term effects on kidney stone development remain unclear. This study examined whether chronic exposure to ambient sulfur dioxide and environmental heat stress was associated with ...
BACKGROUND: Patients with breast cancer often experience health-related quality of life (HRQoL) impairments that remain difficult to predict on an individual level. Prediction models can aid in understanding individual survivorship trajectories. However, current prognostic models are based on fixed intervals, limiting their utility in clinical follow-up schedules. OBJECTIVE: This study aimed to de...
New obesity medications have demonstrated efficacy in trials, but their real-world deployment is partly limited by the absence of approaches that iden...
BACKGROUND: Metabolic dysfunction-associated steatotic liver disease (MASLD) presents a growing global health burden, while reliable non-invasive biom...
BACKGROUND: Early identification of patients at risk for heart failure (HF) hospitalization in the emergency department (ED) is challenging because de...
Coxiella burnetii is a highly virulent intracellular pathogen and the causative agent of acute and chronic Q fever in humans. Central to its pathogeni...
BACKGROUND: Veterans face an increased risk of common mental disorders when compared to civilian groups. However, veteran disengagement from treatment...
PURPOSE: As obesity has reached pandemic proportions worldwide, improving technical solutions for its treatment requires robust planning and numerical...
The clinical presentation of acromegaly reflects systemic effects of chronic GH and IGF-I excess. Diagnostic delay frequently ranges from 6 to 10 year...
BACKGROUND: Ischemic heart disease and metabolic dysfunction-associated steatotic liver disease represent significant global health challenges, charac...
Female breast cancer patients remain at risk of developing additional primary cancers even following surgical treatment. Second primary thyroid cancer...
PURPOSE: To develop a machine learning (ML)-driven polygenic risk score (PRS) for diabetic retinopathy (DR) and evaluate the extent to which lifestyle...
This study aims to assess the predictive value of dietary antioxidants in diabetes-cancer comorbidity using interpretable machine learning (ML) models...
OBJECTIVES: This study aimed to construct and verify machine learning (ML) models to predict long-term abdominal obesity (AO) risk in children and ado...
BACKGROUND: Malnutrition is a significant global public health challenge, with rising prevalence and vital consequences. Recent advances in artificial...
OBJECTIVE: Given China's rapid population ageing and substantial stroke burden, understanding the epidemiology of vascular cognitive impairment (VCI) ...
CONTEXT: Incidental thyroid findings (ITFs) are increasingly detected on imaging performed for non-thyroid indications. Their prevalence, features, an...
BACKGROUND: The term 'schizo-obsessive comorbidity (SOC)' is used to describe the presence of obsessive-compulsive symptoms or obsessive-compulsive di...
BACKGROUND: Accurate preoperative estimation of liposuction volume is essential for achieving optimal aesthetic outcomes and minimizing surgical compl...
BACKGROUND: Glycated hemoglobin (HbA1c) is a convenient tool to evaluate glycemic status but its ability to detect individuals at risk for type 2 diab...