Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
In a digitally enabled healthcare setting, we posit that an individual's current location is pivotal...
INTRODUCTION: The opioid epidemic has altered normative clinical perceptions on addressing both acut...
We sought to compare the outcomes of patients who underwent an open robotic ureteroneocystostomy f...
The sudden deterioration of patients with novel coronavirus disease 2019 (COVID-19) into critical il...
We aimed to develop machine learning models to accurately predict bronchiolitis severity, and to com...
BACKGROUND: The ability to predict transfusions arising during hospital admission might enable econo...
BACKGROUND: Currently, patient selection in TAVI is based upon a multidisciplinary heart team assess...
Since December 2019 the novel coronavirus SARS-CoV-2 has been identified as the cause of the pandemi...
Electrocardiography (ECG) remains an irreplaceable tool in the management of the patients with myoca...
BACKGROUND: In clinical practice, therapists often rely on clinical outcome measures to quantify a p...
HYPOTHESIS/PURPOSE: The objective is to develop and validate an artificial intelligence model, speci...
The Norwood surgical procedure restores functional systemic circulation in neonatal patients with si...
OBJECTIVE: To establish a machine learning (ML)-based prediction model for readmission within 30Â day...
The efficiency of disease prevention and medical care service necessitated the prediction of inciden...
We propose a machine learning driven approach to derive insights from observational healthcare data ...
The intent of this article is to evaluate a novel approach, using rapid cycle analytics and real wo...
Accurate assessment of renal function is essential in hospitalized elderly patients. Few studies ha...
BACKGROUND: Emergency departments (ED) are a portal of entry into the hospital and are uniquely posi...
Digitization of medicine requires systematic handling of the increasing amount of health data to imp...
OBJECTIVE: We analyzed data from inpatients with diabetes admitted to a large university hospital to...
OBJECTIVES:  The current study sought to evaluate whether nursing narratives can be used to predict ...