Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
Since the transition of surgical robot systems into the medical field, physicians have had to devel...
A continuous and complete spring discharge record is critical in understanding the hydrodynamic beha...
The research of evaporation duct is of fundamental importance in the radar and signal communication ...
The link between schizophrenia and homicide has long been the subject of research with significant i...
The timely identification of cohort participants at higher risk for attrition is important to earlie...
Due to its great creative potential for innovation and scientific discovery, inter- and multidiscipl...
BACKGROUND: Hospital cabins are a part and parcel of the healthcare system. Most patients admitted i...
This app project was aimed to remotely deliver diagnoses and disease-progression information to COVI...
BACKGROUND: Extended postoperative hospital stays are associated with numerous clinical risks and in...
Many modern user interfaces are based on touch, and such sensors are widely used in displays, Intern...
Background: The present study investigates the relationship between hypertransaminasemia and malnutr...
The adoption of a valveless trocar system in robotic surgery has allowed for stable pneumoperitoneu...
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...
Machine learning is increasingly being used to predict clinical outcomes. Most comparisons of differ...
This study aimed to explore the value of abdominal computerized tomography (CT) three-dimensional re...
PURPOSE: Recently, robotic surgery has been increasingly performed in hernia surgery. Although feasi...
The potential to use quantitative image analysis and artificial intelligence is one of the driving f...
The technique of Retzius-sparing robot-assisted radical prostatectomy (RS-RARP) and initial experien...
The inherent flexibility of machine learning-based clinical predictive models to learn from episodes...