Cardiovascular

Prevention

Latest AI and machine learning research in prevention for healthcare professionals.

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Showing 1161-1180 of 14,398 articles

Patient perspectives on living with hypertension: Social media listening analysis across predominantly high-income countries

Background: Chronic conditions such as hypertension can significantly disrupt daily life and emotional wellbeing. The interaction between patients' perceptions, adherence to antihypertensive medication and quality of life (QoL) remains underexplored outside structured clinical settings. Objectives: To capture unprompted patient perspectives and assess whether hypertension affects QoL and to invest...

Agentic AI for Personalized Physiotherapy: A Multi-Agent Framework for Generative Video Training and Real-Time Pose Correction

At-home physiotherapy compliance remains critically low due to a lack of personalized supervision and dynamic feedback. Existing digital health solutions rely on static, pre-recorded video libraries or generic 3D avatars that fail to account for a patient's specific injury limitations or home environment. In this paper, we propose a novel Multi-Agent System (MAS) architecture that leverages Genera...

Apr 22 2026 2604.21154v1
A correlational study of ABCA3 and SCN4B as exercise-related biomarkers of patients with Stanford type A aortic dissection

Background: Accumulating evidence indicates that moderate exercise may reduce the incidence of Stanford type A aortic dissection (TAAD), but the speci...

OmniFood8K: Single-Image Nutrition Estimation via Hierarchical Frequency-Aligned Fusion

Accurate estimation of food nutrition plays a vital role in promoting healthy dietary habits and personalized diet management. Most existing food data...

Apr 14 2026 2604.12356v1
Greater lean-body-mass decline with tirzepatide than semaglutide in routine care, revealed by body-composition digital phenotyping

GLP-1 receptor agonists induce substantial weight loss, but the extent to which lean tissue and physical function are preserved in routine care remain...

Untargeted analysis of volatile markers of post-exercise fat oxidation in exhaled breath

Breath acetone represents a promising non-invasive biomarker for monitoring fat oxidation during exercise. However, its utility is limited by confound...

Apr 7 2026 2604.05707v1
CardioAI: An Explainable Machine Learning System for Cardiovascular Risk Prediction and Patient Retention in Nigerian Healthcare Settings

Abstract Background: Cardiovascular disease is the leading cause of mortality in Nigeria and across sub-Saharan Africa, with rising incidence attribut...

A deep-learning based biomarker of systemic cellular senescence burden to predict mortality and health outcomes

Introduction: The accumulation of senescent cells is a recognized hallmark of biological aging and is associated with the onset of multiple chronic me...

Respiratory Status Detection with Video Transformers

Recognition of respiratory distress through visual inspection is a life saving clinical skill. Clinicians can detect early signs of respiratory deteri...

Mar 22 2026 2603.21349v1
The Effects of AI-Guided Exercise and a Smart Ring on Arterial Stiffness (GONDOR-AS): protocol for a randomized controlled trial

Background: Cardiovascular disease (CVD) prevention is limited by the major challenge of low long-term adherence to effective lifestyle regimens. Arte...

From Carb Counting to Diagnosis: Real World Patient Uses and Attitudes Toward Large Language Models in Diabetes Management

Managing diabetes-related conditions is time-intensive and cognitively demanding for patients and caregivers, requiring ongoing glucose monitoring, di...

What Your bowel Sounds Can Tell: The Hidden Language of Digestive Health

Purpose: While bowel sound auscultation represents a key component of abdominal examination, its utility is limited because bowel sounds (BS) are inte...

Relation Extraction for Diet, Non-Communicable Disease and Biomarker Associations (RECoDe): A CoDiet study

Diet plays a critical role in human health, with growing evidence linking dietary habits to disease outcomes. However, extracting structured dietary k...

Cognition, Lifestyles, and Environments: Quantifying the Roles of Body Physiology and the Brain

Lifestyle and environmental factors such as diet, physical activity, residential greenspace exposure, alcohol consumption, and sleep are increasingly ...

Improved Classification of Acute Physical Fatigue Using Salivary Proteomic Biomarkers: An Exploratory Study

Introduction: Physical fatigue is a key determinant of operational readiness in the physically demanding occupations of tactical athletes. Specific ho...

MMTA: Multi Membership Temporal Attention for Fine-Grained Stroke Rehabilitation Assessment

To empower the iterative assessments involved during a person's rehabilitation, automated assessment of a person's abilities during daily activities r...

Mar 1 2026 2603.00878v1
Catalyst-Agent: Autonomous heterogeneous catalyst screening and optimization with an LLM Agent

The discovery of novel catalysts tailored for particular applications is a major challenge for the twenty-first century. Traditional methods for this ...

Mar 1 2026 2603.01311v1
Eubiota: Modular Agentic AI for Autonomous Discovery in the Gut Microbiome

The gut microbiome regulates many aspects of human biology, including immunity and inflammatory diseases, yet mechanistic discovery and translation re...

A Mixed Diet Makes DINO An Omnivorous Vision Encoder

Pre-trained vision encoders like DINOv2 have demonstrated exceptional performance on unimodal tasks. However, we observe that their feature representa...

Feb 27 2026 2602.24181v1
Agentic Trial Emulation to Learn Health System-specific Drug Effects At Scale

Objective: Electronic Health Record (EHR)-based trial emulation can support translation of randomized clinical trial (RCT) evidence into practice, yet...

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