Primary Care

From Cuffs to Code: Machine Learning in Non-Invasive Blood Pressure Monitoring.

Blood pressure (BP) measurement in both acute care and outpatient settings is essential, as conditio...

Assessing the User Experience of an LLM-Based Conversational Assistant in Diabetes Mellitus Care.

UNLABELLED: This article presents the design, implementation, and evaluation of MarIA, a GPT-3.5-pow...

Unraveling Shared Diagnostic Biomarkers: Integrated Bioinformatics Identification of CGB7, MYCNUT, and GPR32 in Gestational Diabetes Mellitus and Retinopathy of Prematurity.

The relationship between Gestational Diabetes Mellitus (GDM) and Retinopathy of Prematurity (ROP) is...

MIEF-Net: multimodal image-enhanced fusion network for intelligent fall risk prediction.

Falls among older adults are a major health concern, often resulting in severe injuries and diminish...

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 phy...

Artificial intelligence methods in gestational diabetes mellitus prediction: A systematic literature review.

Gestational diabetes mellitus (GDM) is the most common metabolic disorder in pregnancy, posing risks...

Generative artificial intelligence in scientific publishing: Expectations for authors and reviewers at Preventive Medicine and Preventive Medicine Reports.

Artificial intelligence for arterial blood gas interpretation.

Arterial blood gas (ABG) analysis is a fundamental diagnostic tool in clinical medicine, offering cr...

Using precision medicine methods to identify disease stages for chronic limb-threatening ischemia in participants of the BEST-CLI trial.

BACKGROUND: Chronic limb-threatening ischemia (CLTI), the most severe form of peripheral artery dise...

Machine learning-assisted characterization of cervid skin tissues with chronic wasting disease by nano-enabled Raman spectroscopic biosensing.

Chronic wasting disease (CWD) is a contagious neurodegenerative disease in cervids and its spread th...

Screening for depression risk in asthma patients: Development and external validation of a machine learning-based predictive model.

BACKGROUND: Depression is prevalent among asthma patients, negatively impacting their quality of lif...

Association between triglyceride-glucose index and depression and the mediating role of hypertension: a cross-sectional study of obese adults.

BACKGROUND: Recent findings indicate a positive correlation between the TyG (triglyceride-glucose) i...

Primary-care-focused interpretable machine learning model for depression screening in geriatrics: A comparative study of multiple algorithms.

BACKGROUND: The prevalence of depression among older adults places a considerable strain on healthca...

Robotic thoracic surgery: what is different in anesthesia?

PURPOSE OF REVIEW: Robotic-assisted thoracic surgery (RATS) has emerged as a transformative approach...

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

BACKGROUND AND PURPOSE: Myocardial fibrosis (MF), a hallmark of structural cardiac remodelling, driv...

A Five-Plasma Protein-Based Algorithm for Predicting Incident CKD in Type 2 Diabetes.

KEY POINTS: Proteomics analyses consistently identified nine independent protein predictors for CKD ...

Interpretable type 2 diabetes incidence prediction with AutoScore: A model based on standard clinical parameters.

OBJECTIVE: Accurate prediction of type 2 diabetes mellitus (T2DM) onset is critical to enable timely...

Blood-based Vienna 3P/5P risk models accurately predict first hepatic decompensation in compensated advanced chronic liver disease.

BACKGROUND & AIMS: Invasive measurement of hepatic venous pressure gradient (HVPG) is the gold stand...

The Pediatric Surgeon's AI Toolbox: How Large Language Models Like ChatGPT Are Simplifying Practice and Expanding Global Access.

INTRODUCTION: Pediatric surgeons face substantial administrative workload. Large language models (LL...

Discrimination of urine infrared spectral biomarkers for early-stage chronic kidney disease patients using attenuated total reflectance fourier transform infrared spectrometry.

Chronic Kidney Disease (CKD) is a highly prevalent non-communicable disorder lacking a gold standard...

Brain dynamics and depressive symptoms in young adults: Evidence from EEG.

BACKGROUND: Depression is a major public health concern, with a rising prevalence among adolescents ...