Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
This study aimed to develop a method for detection of femoral neck fracture (FNF) including displaced and non-displaced fractures using convolutional neural network (CNN) with plain X-ray and to validate its use across hospitals through internal and external validation sets. This is a retrospective study using hip and pelvic anteroposterior films for training and detecting femoral neck fracture th...
The advent of increasingly sophisticated medical technology, surgical interventions, and supportive healthcare measures is raising survival probabilities for babies born premature and/or with life-threatening health conditions. In the United States, this trend is associated with greater numbers of neonatal surgeries and higher admission rates into neonatal intensive care units (NICU) for newborns ...
Human computer interaction (HCI) involves a multidisciplinary fusion of technologies, through which the control of external devices could be achieved ...
Materials that transform shapes responding to external stimuli can bring unprecedented innovations to soft matter physics, soft robotics, wearable ele...
Machine learning, in particular deep learning, may be able to assist in the prediction of the length of stay and timing of discharge for individual pa...
BACKGROUND: Risk prediction models that estimate patient probabilities of adverse events are commonly deployed in bariatric surgery. The objective was...
This study aims to develop and validate prediction models for the number of all heatstroke cases, and heatstrokes of hospital admission and death case...
The recurrence of Ischemic cerebrovascular events (ICE) often results in a high rate of mortality and disability. However, due to the lack of labeled ...
OBJECTIVES: Classifying the possibility of home discharge is important during stroke rehabilitation to support decision-making. There have been severa...
Disruptive innovation is an invention that disrupts an existing market and creates a new one by providing a different set of values, which ultimately ...
Any clinical decision support (CDS) design project integrating computational technologies with clinician workflows will require the merging of multipl...
Although single-port robot-assisted radical prostatectomy (SP-RARP) is considered a safe and feasible approach for radical prostatectomy, the compara...
Comprehensive national estimates of groundwater storage loss (GSL) are needed for better management of natural resources. This is especially important...
A 38-years-old female with an aortic valve replacement presented to an outside hospital (OSH) with fevers and malaise. Blood cultures revealed VRE whi...
Current approaches to understanding medication ordering errors rely on relatively small manually captured error samples. These approaches are resource...
The introduction of a new drug to the commercial market follows a complex and long process that typically spans over several years and entails large m...
Heart Failure (HF) is a major cause of morbidity and mortality in the US. With aging of the US population, the public health burden of HF is enormous....
Robot assisted minimally invasive esophagectomy (RAMIE) has evolved over the past decade to become procedure of choice at many centers all over the wo...
Early prediction of patient mortality risks during a pandemic can decrease mortality by assuring efficient resource allocation and treatment planning....
PURPOSE: Comparison of deep learning algorithm, radiomics and subjective assessment of chest CT for predicting outcome (death or recovery) and intensi...