Artificial intelligence has the potential to revolutionize modern society in all its aspects.
Encouraged by the variety and vast amount of data that can be gathered from patients (eg …

Introduction We aimed to assess whether machine learning models are superior at
predicting acute kidney injury (AKI) compared to logistic regression (LR), a conventional …

The early prediction of deterioration could have an important role in supporting healthcare
professionals, as an estimated 11% of deaths in hospital follow a failure to promptly …

Background Currently, physicians are limited in their ability to provide an accurate prognosis
for COVID-19 positive patients. Existing scoring systems have been ineffective for identifying …

The purpose of this study was to assess the feasibility of machine learning (ML) in predicting
the risk of end-stage kidney disease (ESKD) from patients with chronic kidney disease …

Artificial intelligence (AI) is a branch of Informatics that uses algorithms to tirelessly process
data, understand its meaning and provide the desired outcome, continuously redefining its …

Acute kidney injury (AKI) is a major complication after cardiothoracic surgery. Early
prediction of AKI could prompt preventive measures, but is challenging in the clinical routine …

In data-driven medical research, multi-center studies have long been preferred over single-
center ones due to a single institute sometimes not having enough data to obtain sufficient …

Using artificial intelligence and machine learning techniques in different medical fields,
especially emergency medicine is rapidly growing. In this paper, studies conducted in the …

Purpose Acute respiratory distress syndrome (ARDS) is a serious respiratory condition with
high mortality and associated morbidity. The objective of this study is to develop and …