Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
A 38-years-old female with an aortic valve replacement presented to an outside hospital (OSH) with f...
Current approaches to understanding medication ordering errors rely on relatively small manually cap...
The introduction of a new drug to the commercial market follows a complex and long process that typi...
AIM: To predict the risk of hypoglycaemia using machine-learning techniques in hospitalized patients...
Heart Failure (HF) is a major cause of morbidity and mortality in the US. With aging of the US popul...
Robot assisted minimally invasive esophagectomy (RAMIE) has evolved over the past decade to become p...
Early prediction of patient mortality risks during a pandemic can decrease mortality by assuring eff...
PURPOSE: Comparison of deep learning algorithm, radiomics and subjective assessment of chest CT for ...
Predictions of pore pressure and seepage discharge are the most important parameters in the design o...
Identification of those at greatest risk of death due to the substantial threat of COVID-19 can bene...
The time of dim light melatonin onset (DLMO) is the gold standard for circadian phase assessment in ...
The efficient and reliable monitoring of the flow of water in open channels provides useful informat...
Machine learning (ML) has been suggested to improve the performance of prediction models. Neverthele...
This paper aims to present the analysis and development of a complete electronic smart meter that is...
In Coronavirus disease 2019 (COVID-19), early identification of patients with a high risk of mortali...
Infection caused by carbapenem-resistant (CR) organisms is a rising problem in the United States. Wh...
To evaluate potential factors associated with the risk of perioperative blood transfusion (PBT) with...
Orthopaedic and trauma research is a gateway to better health and mobility, reflecting the ever-incr...
Minimally invasive techniques for coronary artery bypass grafting (CABG), specifically robotic-assis...
AIMS: Models predicting mortality in heart failure (HF) patients are often limited with regard to pe...
Researchers have found that machine learning methods are typically better at prediction than econome...