Research Insights

This section focuses on recent global studies and discoveries in the various fields of healthcare.

Computer-based quantitative image texture analysis using multi-collinearity diagnosis in chest X-ray images

Despite tremendous efforts devoted to the area image texture analysis is still an open research field This paper presents an algorithm and experimental

Deep learning-based acceleration of muscle water T2 mapping in patients with neuromuscular diseases by more than 50% - translating quantitative MRI from research to clinical routine

Quantitative muscle water T Tw mapping is regarded as a biomarker for disease activity and response to treatment in neuromuscular diseases NMD

Comparative Impact of Integrated Palliative Care vs. Standard Care on the Quality of Life in Cancer Patients: A Global Systematic Review and Meta-Analysis of Randomized Controlled Trials

Cancer is a leading cause of global morbidity and mortality significantly impairing patients quality of life QoL Integrated Palliative Care IPC has been proposed

Artificial intelligence (AI) in nursing administration: Challenges and opportunities

Artificial Intelligence AI is increasingly transforming nursing administration by enhancing operational efficiency and supporting datadriven decisionmaking

Integration of experiences of contingency in patients with advanced cancer supported by a multimodal art approach

To support patients with cancer in a palliative treatment phase with the integration of experiences of contingency into their life narrative

AI modeling for outbreak prediction: A graph-neural-network approach for identifying vancomycin-resistant enterococcus carriers

The isolation of affected patients and intensified infection control measures are used to prevent nosocomial transmission of vancomycinresistant enterococci VRE but early detection of VRE carriers is needed

Change in address in electronic health records as an early marker of homelessness

Housing stability is a key health determinant and there is a need for early screening for instability with existing electronic health record EHR data to improve health outcomes

Post-concussion symptom burden and dynamics: Insights from a digital health intervention and machine learning

Individuals who sustain a concussion can experience a range of symptoms which can significantly impact their quality of life and functional outcome This study aims to understand the nature and recovery trajectories

Optimizing Bi-LSTM networks for improved lung cancer detection accuracy

Lung cancer remains a leading cause of cancerrelated deaths worldwide with low survival rates often attributed to latestage diagnosis To address this critical health challenge

Effects of high-intensity interval training versus moderate-intensity continuous continuous training on cardiorespiratory and exercise capacity in patients with coronary artery disease

With the increasing utilization of cardiac rehabilitation in clinical treatment and prognosis for patients with cardiovascular diseases exercise training has become a crucial component Highintensity interval training