Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
The timely identification of cohort participants at higher risk for attrition is important to earlie...
BACKGROUND: Hospital cabins are a part and parcel of the healthcare system. Most patients admitted i...
BACKGROUND: Extended postoperative hospital stays are associated with numerous clinical risks and in...
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...
The main objective of this work is to develop and evaluate an artificial intelligence system based o...
BACKGROUND: The aim of the study was to predict the probability of intensive care unit (ICU) care fo...
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 inherent flexibility of machine learning-based clinical predictive models to learn from episodes...
The technique of Retzius-sparing robot-assisted radical prostatectomy (RS-RARP) and initial experien...
INTRODUCTION: In primary care, almost 75% of outpatient visits by family doctors and general practit...
We describe the first five robot-assisted radical prostatectomies (RARPs) performed with the new Hug...
With the rapid development of China's social economy, it is the most important task for the water co...
BACKGROUND: Opioid use disorder (OUD) is underdiagnosed in health system settings, limiting research...
Spontaneous intracerebral hemorrhage (ICH) has an increasing incidence and a worse outcome in elderl...
BACKGROUND: In the DESIRE study (Discharge aftEr Surgery usIng aRtificial intElligence), we have pre...
BACKGROUND: Minimally invasive liver resection is associated with lower perioperative morbidity and ...
In order to effectively improve the efficiency of hospital public management, we designed a hospital...