Background/aim Frequent premature ventricular complexes (PVCs) have historically been regarded as benign in structurally ...

Meta's Llama models are open generative AI models designed to run on a range of hardware and perform a range of different ...

Lack of physical activity is a risk factor for cardiovascular diseases–this is well-known. Those who sit a lot and move ...

The study identifies explainable AI as critical for bridging the gap between data-driven predictions and evidence-based ...

For high-demand, comprehensive cases, systematic literature review (SLR) methodologies are indispensable.

Significant risk factors for ischemic CVD in RAO patients included atrial fibrillation (OR 1.32), chronic heart failure (OR 1 ...

Objective Handball is a popular team sport with injury risks, especially to the shoulder. This systematic review aims to ...

A new study published in the Frontiers in Cardiovascular Medicine showed that wearable technology for monitoring pulmonary ...

A meta-analysis of pediatric patients shows the potential promise of this noninvasive biomarker for early diagnosis, risk stratification, and management of nephrotic syndrome.

Explore how machine learning is revolutionising interstitial lung disease management, enhancing early diagnosis, treatment, ...

Introduction Mentalising, the capacity to understand behaviour via underlying mental states, is a key construct in psychopathology. While self-report instruments are widely used to assess mentalising, ...

Introduction The Grand Bargain Agreement at the 2016 World Humanitarian Summit emphasised the need to reform the humanitarian system. Central to these reforms were commitments to localise humanitarian ...