Obesity

Comparing ChatGPT with healthcare provider responses to home parenteral nutrition questions.

BACKGROUND: Patients receiving home parenteral nutrition (HPN) face complex challenges and increasingly seek support online, including generative artificial intelligence (AI) platforms like ChatGPT. This survey study compared ChatGPT with clinician responses to common HPN-related questions. METHODS: Responses to 20 HPN-related questions spanning five content themes were generated by ChatGPT and pr...

Age at Periacetabular Osteotomy Does Not Reduce the Likelihood of Excellent 20-Year Patient-Reported Outcomes in Native Hips: A K-Means Clustering Analysis.

BACKGROUND: Periacetabular osteotomy (PAO) is widely used to treat symptomatic hip dysplasia; however, the long-term effect of age at PAO on patient-reported outcome measures (PROMs) remains controversial. We aimed to determine whether age at PAO influences long-term PROMs. METHODS: We conducted a retrospective cohort study involving 111 patients (126 hips) who had a mean follow-up of 19.5 years a...

Mapping systemic inter-organ metabolic networks across glycemic continuum using whole-body [18F]FDG PET/CT and machine learning.

PURPOSE: Glucose homeostasis relies on coordinated interactions among multiple organs, and its disruption relates to diabetes development. This study ...

Prediction of Short-Term Postoperative Complications Following Open Reduction Internal Fixation of Ankle Fractures.

BACKGROUND: Minimizing postoperative complications is imperative to improving patient outcomes. The purpose of this investigation is to develop machin...

Takotsubo cardiomyopathy: Advances in pathophysiology, diagnostic biomarkers, genetic insights, multisystemic involvement, treatment updates & multidisciplinary interventions.

BACKGROUND: Takotsubo cardiomyopathy (TTC) is an acute, reversible cardiac syndrome triggered by physical or emotional stress, involving complex multi...

Leveraging explainable machine learning models to predict moderate to severe obstructive sleep apnea in heart failure with preserved ejection fraction patients: A comorbidity perspective.

BACKGROUND: Obstructive sleep apnea (OSA) is commonly observed in patients with heart failure with preserved ejection fraction (HFpEF), exacerbating t...

Robotic thoracic surgery: what is different in anesthesia?

PURPOSE OF REVIEW: Robotic-assisted thoracic surgery (RATS) has emerged as a transformative approach in thoracic surgery, enabling enhanced precision ...

Deep learning-enhanced 3D imaging unveils semaglutide impact on cardiac fibrosis.

BACKGROUND AND PURPOSE: Myocardial fibrosis (MF), a hallmark of structural cardiac remodelling, drives disease progression across most forms of heart ...

Beyond Wealth: The Impact of Robot Adoption on Chronic Diseases.

While the labor market effects of industrial robots have been extensively studied, their broader health implications, particularly on chronic diseases...

Applying machine learning to explore association models between environmental hormones, breast cancer, and a dietary and health education improvement program: an investigative study.

Traditional risk factor screening for breast cancer focuses on reproductive and family history. However, an increasing number of young patients withou...

Accelerometer-measured intensity-specific physical activity, genetic susceptibility, and back pain risk: a UK Biobank cohort study.

BACKGROUND CONTEXT: Current clinical guidelines lack clear, quantitative recommendations on intensity-specific physical activity (PA) levels for preve...

Associations of Skeletal Muscle Mass and Body Mass Index With Clinical Outcomes in Autosomal-Dominant Polycystic Kidney Disease: An Observational Study.

RATIONALE & OBJECTIVE: Low muscle mass is a risk factor for chronic kidney disease. In this study, we examined the relationship between muscle mass an...

The similarities and differences of multiple chronic diseases risk factors across depressive symptoms trajectories among middle-aged and older Chinese adults: A 10-year longitudinal cohort study.

BACKGROUND: Depressive symptoms and multiple chronic diseases (MCDs) significantly contribute to the global disease burden among middle-aged and older...

Age-specific modifiable determinants and nonlinear risk patterns of habitual low back pain in a large medical check-up cohort: a cross-sectional and longitudinal analysis.

BACKGROUND: Age-related mechanisms underlying habitual low-back pain (LBP) remain poorly defined, with most studies pooling heterogeneous populations ...

Financial Well-Being in Older Adults: A Machine Learning Analysis of 47 Potential Predictors.

This study examined potential predictors of financial well-being in older adults. Data were drawn from the Health and Retirement Study, focusing on ps...

Deep Learning Predicts Cardiac Output from Seismocardiographic Signals in Heart Failure.

Determination of cardiac output (CO) is essential to the clinical management of cardiovascular compromise. However, the invasiveness, procedural risks...

Development and validation of a prognostic model and risk calculator for the estimation of bipolar-spectrum disorder risk in hospitalised adolescents with non-psychotic/non-bipolar mental disorders.

We aimed to develop and validate a risk estimation model for developing bipolar-spectrum disorders (BSD) in psychiatrically hospitalized adolescents b...

The Impact of Comorbidity Patterns on Clinical Outcomes in Heart Failure: A Machine Learning-Based Cluster Analysis.

Heart failure (HF) is a major global health burden, and complex comorbidity patterns can worsen clinical outcomes and complicate patient care. This st...

Causal Transformer for Learning Embeddings from Structured Medical History Records and Multi-Source Data Integration for Complex Disease Risk Prediction.

Traditional disease risk prediction models predominantly rely on statistical algorithms and often focus on genetic factors or a limited set of lifesty...

Lifestyle-associated serum metabolites profiling in relation to risk of late-onset psoriasis.

BACKGROUND: Although healthy lifestyle behaviours are associated with a lower risk of psoriasis, the underlying metabolic mechanisms remain unclear. O...