Medical image processing has transformed the Complete Blood Count (CBC) analysis to enhance diagnostic accuracy and to detect diseases such as neurodegenerative diseases, infections, and anemia through non-invasive blood cell analysis. Nonetheless, t... read more
BACKGROUND: The increasing integration of artificial intelligence (AI) into healthcare has generated interest in its potential role within nursing practice, particularly in relation to clinical decision-making and care delivery processes. OBJECTIVES:... read more
BACKGROUND: Early detection of cardiovascular disease is a global public health priority. Artificial intelligence (AI)-enabled stethoscopes offer robust performance characteristics in point-of-care detection of heart failure, atrial fibrillation, and... read more
PURPOSE OF REVIEW: Lipoprotein(a), Lp(a), is a genetically determined, lifelong risk factor for atherosclerotic cardiovascular disease (ASCVD). Despite broad guideline support for universal one-time testing, Lp(a) measurement remains rare in clinical... read more
Epilepsy is a chronic brain disorder characterized by recurrent seizures resulting from abnormal brain cell activity. The unpredictability of these seizures underscores the criticality of anticipating and promptly addressing them to enhance the patie... read more
INTRODUCTION: High-grade soft tissue sarcomas (STShg) of the extremities are rare cancers with a poor prognosis. Accurate staging at initial evaluation is crucial for determining optimal treatment. Current guidelines recommend systematic chest comput... read more
Handheld ultrasound (HHUS) is indispensable for breast cancer screening but remains compromised by operator-dependent acquisition, subjective 2D interpretation and clock-face annotation. Existing spatial tracking systems for HHUS typically lack integ... read more
Accurate analysis of tumor morphology, vascularity, and tissue stiffness under multimodal ultrasound imaging plays a critical role in the diagnosis of breast cancer. However, manual interpretation across multiple modalities is time-consuming and heav... read more
Wearable microneedles (MNs) biosensors offer significant potential for minimally invasive biomarker detection in interstitial fluid (ISF). However, suboptimal fluid collection efficiency, dermal irritation due to rigid structural components, and inad... read more
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