Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
INTRODUCTION: Patient outcome prediction models are underused in clinical practice because of lack o...
Lower extremity dysfunction after a stroke can vary from mild to extremely severe and significantly ...
BACKGROUND: Rational use of internal resources of hospitals including bed fund turnover is important...
In an overcrowded emergency department (ED), trauma surgeons and emergency physicians need an accura...
Robot-assisted radical nephrectomy (RRN) is increasingly utilized as an alternative to laparoscopic...
Robot-assisted laparoscopic partial nephrectomy (RAPN) for completely endophytic renal tumors is ch...
To examine the surgical outcome of transoral robotic thyroidectomy. Clinic data of total 30 cases ...
Efficient management of hospitalized patients requires carefully planning each stay by taking into a...
To compare the clinical effects of single-incision robot-assisted laparoscopic radical prostatectom...
, a gram-negative bacterium, is a common pathogen causing nosocomial infection. The drug-resistance...
The increasing availability of electronic health records and administrative data and the adoption of...
Radiomics refers to the extraction of mineable data from medical imaging and has been applied within...
Digital medicine has played a vital role in promoting the development of hepatobiliary and pancreati...
To investigate the safety and feasibility of Da Vinci robot-assisted pylorus and vagus nerve-preser...
OBJECTIVE: The study sought to determine whether machine learning can predict initial inpatient tota...
Robot-assisted radical prostatectomy (RARP) is currently the standard minimally invasive procedure f...
AIMS: This study used an artificial neural network (ANN) model to determine the most important pre- ...
BACKGROUND:: In a pandemic situation (e.g., COVID-19), the most important issue is to select patient...
The clinical data of 22 patients with giant renal hamartoma in Zhejiang Provincial People's Hospital...
BACKGROUND: Previous models on prediction of shock mostly focused on septic shock and often required...
Ventilator-associated pneumonia (VAP) is the most common and fatal nosocomial infection in intensive...