The latent profile analysis was used to identify the self-efficacy groups of young and middle-aged patients with aortic ...

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

In an era where insurance fraud drains billions from the global economy annually, a groundbreaking study by researchers ...

Objective This study aimed to assess the prevalence of eye care service utilisation and associated factors among healthcare professionals in Gondar city, northwest Ethiopia. Design An ...

Efficient, predictable enforcement of the Hague-Visby Rules is critical to Tanzania’s competitiveness in global supply chains, yet circumstantial evidence suggests systematic delays and uncertainty.

Introduction Low‐ and middle-income countries (LMICs) suffer the highest rates of death and disability due to emergency ...

The CT-based whole-lung radiomic nomogram accurately identifies AECOPD and offers a robust tool for clinical diagnosis and treatment planning.

Medical device makers use AI to turn EU regulatory challenges into competitive advantages via supply chain optimization.

A machine learning model using routine lab data at 3 months postdiagnosis accurately predicted mortality or liver transplant risk in autoimmune hepatitis.

Machine learning models using initial neuropsychological and neuropsychiatric clinical data accurately distinguished AD from bvFTD.

Conclusions: There is a potential mismatch between what clinicians identify as important in determining palliative care need and final eligibility determinations. Patients with dementia were less ...