An Iterative Reconstruction Algorithm Based on Detail Transfer for Few-View Computed Tomography. Journal of Signal and ...

This study aimed to evaluate diurnal and seasonal trends in aerodynamic conductance over a grassland surface. A simple ...

In the swiftly evolving tech landscape, Artificial Intelligence (AI) and Machine Learning (ML) have emerged as two of the most ...

Abstract: A revolutionary area of artificial intelligence called machine learning enables computers to learn from data and forecast without the need for explicit programming. A key component of ...

Objective To clarify whether atherogenic index of plasma (AIP), a comprehensive indicator reflecting both the protective and ...

Most proteins in blood are measured outside their functional and cellular context. Machine learning was used to integrate ...

Objective To characterise the use of the prostate specific antigen (PSA) test in primary care in England. Design Population based open cohort study. Setting England. Participants 10 235 805 male ...

Objective Certain leading medical organisations are considering alternatives to the Body Mass Index (BMI) as a predictor of the risk for non-communicable chronic disease (NCD) or death. Our objective ...

Objectives: This study aimed to evaluate the effectiveness of value-based care (VBC) interventions in slowing the progression of chronic kidney disease (CKD), as measured by changes in estimated ...

The editorial board members (AHA) journals are committed to transparency, open-science principles, and quality assurance in the publication of AI-based research articles, with the goal of achieving ...

Zahra Bahadoran et al conducted a study to assess the association between serum zinc (SZn) concentration and fracture risk in ...

Background Globally, adolescent mothers and their children have poorer health outcomes. However, little is known regarding ...