Background: Sepsis, a life-threatening infection-induced inflammatory condition, has
significant global health impacts. Timely detection is crucial for improving patient outcomes …

Background Sepsis is a life-threatening condition caused by an abnormal response of the
body to infection and imposes a significant health and economic burden worldwide due to its …

Objectives To compare the artificial intelligence algorithms as powerful machine learning
methods for evaluating patients with suspected sepsis using data from routinely available …

Although Kyphosis, an excessive forward rounding of the upper back, can occur at any age,
adolescence is the most common time for Kyphosis. Surgery is frequently performed on …

Sepsis remains a significant global health challenge due to its high mortality and morbidity,
compounded by the difficulty of early detection given its variable clinical manifestations. The …

Background Sepsis, an acute and potentially fatal systemic response to infection,
significantly impacts global health by affecting millions annually. Prompt identification of …

With increasing computing power, artificial intelligence (AI) and machine learning (ML) have
prospered, which facilitate the analysis of large datasets, especially those found in critical …

Maternal mortality is a major public health concern worldwide. It is the number of
preventable deaths that occur each year due to pregnancy and childbirth. The research …

Sepsis is a severe and potentially life-threatening condition that occurs when the body's
immune response becomes excessively intense in reaction to an infection. If not promptly …

Background Recent research has demonstrated that machine learning (ML) has the
potential to improve several aspects of medical application for critical illness, including …