Purpose: This study aims to investigate the current state of AI literacy, identify critical skill gaps, and evaluate the effectiveness of training strategies for driving successful AI-driven ...

Objectives This study describes the prototype testing and clinical validation of the Fit-Frailty App, a fully guided, interactive mobile health (mHealth) app to assess frailty and sarcopenia. This ...

This is an important contribution that largely confirms prior evidence that word recognition - a cornerstone of development - improves across early childhood and is related to vocabulary growth. This ...

Abstract: Frequency-modulated continuous-wave (FMCW) light detection and ranging (LiDAR) has received extensive attention, owing to its high robustness and accuracy, and its extensive applications in ...

As medical weight loss continues to evolve in 2026, the landscape of GLP-1 therapies has reached a pivotal moment with ...

Utilize AI to analyze application runtime data (e.g., rendering time, communication latency), obtain optimization suggestions (such as reducing component re-rendering, reusing hardware connections), ...

Background Despite anticoagulation, patients with atrial fibrillation (AF) experience persistent elevated cardiovascular risk ...

Abstract: In this letter, we introduce robust data-driven control barrier functions (CBF-DDs) to guarantee robust safety of unknown continuous control affine systems despite worst-case realizations of ...

Objectives Given the rapidly evolving therapeutic landscape for type 2 diabetes (T2D) and chronic kidney disease (CKD), this study aimed to characterise the clinical profiles and real-world outcomes ...