Research Insights

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

Neurological outcomes and predictive factors in traumatic spinal cord injury patients in the intensive care unit

This study aims to analyze the demographic characteristics clinical features and neurological outcomes of patients with traumatic spinal cord injury TSCI admitted to the Intensive Care Unit ICU in order to provide scientific evidence

Heterogeneity of diagnosis and documentation of post-COVID conditions in primary care: A machine learning analysis

PostCOVID conditions PCC have proven difficult to diagnose In this retrospective observational study we aimed to characterize the level of variation in PCC diagnoses observed across clinicians

Brain tumor classification using MRI images and deep learning techniques

Brain tumors pose a significant medical challenge necessitating early detection and precise classification for effective treatment This study aims to address this challenge by introducing an automated brain tumor

Oxygen desaturation and lung ultrasonography as markers of diffuse parenchymal lung diseases severity

We aimed to evaluate lung ultrasound LUS and oxygen desaturation as markers for the severity of diffuse parenchymal lung disease DPLD specifically the fibrotic subtypes and correlate the findings

The impact of AI feedback on the accuracy of diagnosis, decision switching and trust in radiography

Artificial intelligence decision support systems have been proposed to assist a struggling National Health Service NHS workforce in the United Kingdom Its implementation in UK healthcare systems

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