Sepsis is described as a life-threatening organ dysfunction and a heterogeneous syndrome
that is a leading cause of morbidity and mortality in intensive care settings. Severe sepsis …

Artificial intelligence (AI) holds significant promise for revolutionizing health care by
enhancing diagnosis, treatment, and patients' safety. However, the current disparity between …

Boussina et al. recently evaluated a deep learning sepsis prediction model (COMPOSER) in
a prospective before-and-after quasi-experimental study within two emergency departments …

Background Perhaps nowhere else in the healthcare system than in the intensive care unit
environment are the challenges to create useful models with direct time-critical clinical …

Telestroke has become commonplace for hospitals requiring access to stroke expertise
when that expertise is not locally available. Telestroke networks have been developed to …

In this work we present OptAB, the first completely data-driven online-updateable antibiotic
selection model based on Artificial Intelligence for Sepsis patients accounting for side …

Abstract Objectives Serum creatinine (SCr) is the primary biomarker for assessing kidney
function; however, it may lag behind true kidney function, especially in instances of acute …

Machine Learning (ML) research has increased substantially in recent years, due to the
success of predictive modeling across diverse application domains. However, well-known …

We present a comparative study on the performance of two popular open-source large
language models for early prediction of sepsis: Llama-3 8B and Mixtral 8x7B. The primary …

Sepsis is one of the leading causes of mortality in hospital settings, and early diagnosis is a
crucial challenge to improve clinical outcomes. Artificial intelligence (AI) is emerging as a …