Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
The aging world population requires a sustainable and high-quality healthcare system. To examine the efficiency of medical cooperation, medical provider and physician networks were constructed using patient claims data. Previous studies have shown that these networks contain information on medical cooperation. However, the usage patterns of multiple medical providers in a series of medical service...
International Classification of Diseases (ICD) coding plays an important role in systematically classifying morbidity and mortality data. In this study, we propose a hierarchical label-wise attention Transformer model (HiLAT) for the explainable prediction of ICD codes from clinical documents. HiLAT firstly fine-tunes a pretrained Transformer model to represent the tokens of clinical documents. We...
This pilot study aimed to assess the safety and feasibility of an EMG-driven rehabilitation robot in patients with Post-Viral Fatigue (PVF) syndrome a...
The emergency department (ED) plays a very significant role in the hospital. Owing to the rising number of ED visits, medical service points, and ED m...
INTRODUCTION: The digitization of hospital systems, including integrated electronic medical records, has provided opportunities to improve the predict...
To improve the monitoring of the electrical power grid, it is necessary to evaluate the influence of contamination in relation to leakage current and ...
Surgical site infections (SSIs) have a major role in the evolution of medical care. Despite centuries of medical progress, the management of surgical...
Among the IL-6 inhibitors, tocilizumab is the most widely used therapeutic option in patients with SARS-CoV-2-associated severe respiratory failure (S...
As a promising alternative to hospital-based manual therapy, robot-assisted tele-rehabilitation therapy has shown significant benefits in reducing the...
This study was aimed at investigating the ultrasound based on deep learning algorithm to evaluate the rehabilitation effect of transumbilical laparosc...
Based on the development background of the interweaving and integration of computer technology and Internet technology, China's artificial intelligenc...
In order to alleviate the "difficulty in seeing a doctor" for the masses, continuously optimize the service process, and explore new financial service...
Accurate estimation of mortality and time to death at admission for COVID-19 patients is important and several deep learning models have been created ...
A prolonged length of hospital stay (LOS) has become an important issue among patients undergoing cardiovascular surgery in our aging society. However...
Under the background of artificial intelligence (AI), a human resource information management system was designed to facilitate hospital human resourc...
BACKGROUND: An injurious fall is one of the main indicators of care quality in healthcare facilities. Despite several fall screen tools being widely u...
Intestinal duplication is the most common type of alimentary tract duplications in childhood. Laparoscopic-assisted surgery has become the main surgi...
Machine learning can predict outcomes and determine variables contributing to precise prediction, and can thus classify patients with different risk f...
Malnutrition is common, morbid, and often correctable, but subject to missed and delayed diagnosis. Better screening and prediction could improve clin...
We sought to craft a drug safety signalling pipeline associating latent information in clinical free text with exposures to single drugs and drug pair...