Research Insights in American hhm – American Healthcare Magazine

Clinical value of the caval–aortic index and inferior vena cava diameter for volume assessment in hypernatremic patients

Accurate assessment of intravascular volume status in hypernatremic patients presenting to the emergency department is often challenging due to advanced age altered mental status and unreliable

Knowledge graph-guided multiple sclerosis identification and therapeutic trend analysis: Real-world evidence from two large healthcare systems

The multiple sclerosis MS therapeutic landscape has evolved over time We conducted a knowledge graphguided analysis of MSspecific diseasemodifying therapy DMT prescription

Dual-flow convolutional neural network for automatic measurement of left ventricular ejection fraction and global longitudinal strain in echocardiography

Left ventricular ejection fraction LVEF and global longitudinal strain GLS are essential for the diagnosis clinical decisionmaking and prognosis of cardiovascular disease However accurate assessments

Advancing foundational models in digital health technology adoption: A systematic literature review of multidisciplinary factors

Digital health technologies DHTs such as patient portals mobile applications and electronic health records can improve access to healthcare selfmanagement and care coordination

A lightweight alignment-aware DBNet for surgical instrument code detection

Reliable detection of engraved surface codes on surgical instruments is essential for endtoend traceability yet remains challenging in practice because metallic reflection motion blur scale variation

AI-assisted forecasting in microsurgery: A dual-component framework for global publication trends

Artificial intelligence AIassisted approaches may allow surgical research trends to be analyzed at scale and projected over time However their use in forecasting the evolution of microsurgical scholarship

Deep learning applications in osteosarcoma MRI: A systematic review of recent advances in AI-based osteosarcoma diagnosis

Primary malignant bone tumours of the skeleton have a great diversity in their biological behaviour and the most common in adolescence is osteosarcoma for which the diagnosis and therapeutic

Comparative analysis of machine learning techniques for cardiovascular disease prediction

Early and accurate prediction of cardiovascular disease CVD is fundamental for reducing morbidity and mortality Machine learning ML algorithms provide a datadriven actionable foundation

Synthetic data augmentation for CT-based emphysema subtype classification: A comparative evaluation of generative and classical approaches

Data scarcity is a persistent challenge in medical image analysis Synthetic data generation using deep generative models has been proposed as a potential approach to address this limitation

Inclusive mobile brain-body imaging achieves equivalent EEG data quality across racial groups

Electroencephalography EEG research systematically excludes participants with textured hair limiting generalizability While inclusive hardware offers a solution it remains unvalidated in dynamic settings This study bridges this ecological gap by determining if equitable data quality is achievable across racial groups during a complex Mobile