Sepsis is one of the main causes of death in critically ill patients. Despite the continuous
development of medical technology in recent years, its morbidity and mortality are still high …

Immunosuppressed patients, particularly those with cancer, represent a momentous and
increasing portion of the population, especially as cancer incidence rises with population …

Sepsis is a highly lethal syndrome with heterogeneous clinical manifestation that can be
hard to identify and treat. Early diagnosis and appropriate treatment are critical to reduce …

Research on the severity and prognosis of sepsis with or without progressive delirium is
relatively insufficient. We constructed a prediction model of the risk factors for 28-day …

Pancreatic cancer (PC) has one of the lowest survival rates among all major types of cancer.
Consequently, it is one of the leading causes of mortality worldwide. Serum biomarkers …

Objective To develop a sepsis death classification model based on machine learning
techniques for patients admitted to the Intensive Care Unit (ICU). Design Cross-sectional …

Abstract Intensive Care Units (ICUs) have undergone enhancements in patient safety, and
artificial intelligence (AI) emerges as a disruptive technology offering novel opportunities …

Background Early and accurate diagnoses of sepsis patients are essential to reduce the
mortality. However, the sepsis is still diagnosed in a traditional way in China despite the …

Las unidades de cuidados intensivos (UCI) han sido objeto de mejoras en la seguridad del
paciente y la inteligencia artificial (IA) se presenta como una tecnología disruptiva que …

Introduction While there have been several literature reviews on the performance of digital
sepsis prediction technologies and clinical decision-support algorithms for adults, there …