Latest AI and machine learning research in hospitalists for healthcare professionals.
A continuous and complete spring discharge record is critical in understanding the hydrodynamic beha...
Background: The present study investigates the relationship between hypertransaminasemia and malnutr...
BACKGROUND: The aim of the study was to predict the probability of intensive care unit (ICU) care fo...
The main objective of this work is to develop and evaluate an artificial intelligence system based o...
Electrostatic probe diagnosis is the main method of plasma diagnosis. However, the traditional diagn...
With the rapid development of China's social economy, it is the most important task for the water co...
BACKGROUND: In the DESIRE study (Discharge aftEr Surgery usIng aRtificial intElligence), we have pre...
The major emission sources of NO are from automobiles, trucks, and various non-road vehicles, power ...
River water quality is a function of various bio-physicochemical parameters which can be aggregated ...
Background After severe traumatic brain injury (sTBI), physicians use long-term prognostication to g...
BACKGROUND: Severe maternal morbidity and mortality remain public health priorities in the United St...
OBJECTIVE: To assess the feasibility and safety of same-day discharge (SDD) surgery after robot-assi...
In order to enhance the classification accuracy and the generalization performance of the SVM classi...
The aim of this study is to build machine learning models to predict severe complications using admi...
This study was aimed to explore the application of cardiac magnetic resonance imaging (MRI) image se...
This study was aimed at exploring the application of image segmentation based on full convolutional ...
Background: To develop a deep-learning (DL) pipeline that allowed an automated segmentation of epica...
Neurons refer to nerve cells. Each neuron is connected with thousands of other neurons to form a cor...
BACKGROUND: An aging population with a burden of chronic diseases puts increasing pressure on health...
Information regarding water clarity at large spatiotemporal scales is critical for understanding com...
This paper proposes a representation learning framework HE-LSTM model for heterogeneous temporal eve...