Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
Analysis of data from Electronic Health Records (EHR) presents unique challenges, in particular rega...
We study machine learning techniques to automatically identify limb abnormalities (including fractur...
The aim of this study is to compare the effect of liver enucleation with resection of a giant hemang...
A 60-year-old man initially presented with pain in the right upper quadrant in October 2010. A compu...
INTRODUCTION: Gastric cancer represents a great challenge for healthcare providers and requires a mu...
BACKGROUND: Vancomycin is frequently used in the treatment of methicillin-resistant Staphylococcus a...
This study aims at the development of an artificial neural network-based model for the estimation of...
BACKGROUND: A robotic arm was developed by our laboratory for tele-operated echography on patients i...
INTRODUCTION: Unplanned 30-day hospital readmission account for roughly $17 billion in annual Medica...
At our institute, a non-suturing method for closure of the umbilical epidermis has been used in lapa...
Improving the treatment of trauma, a leading cause of death worldwide, is of great clinical and publ...
End-user development is a new trend to provide tailored services to dynamic environments such as hos...
Robotic system has been increasingly used in pancreatectomy. However, the effectiveness of this meth...
Recent literature suggests that elevated vancomycin trough concentrations (>20 µg/mL) may be associ...
OBJECTIVE: Hospitals are challenged to provide timely patient care while maintaining high resource u...
Study Design Retrospective evaluation of prospectively collected data. Objective To evaluate infecti...
OBJECTIVES: Rapid sequence intubation (RSI) is the standard for definitive airway management in emer...
Minimally invasive liver surgery (MILS) is going to be a method with a wide diffusion even in genera...
The present study explores for the first time the possibility of modelling sediment concentration wi...
BACKGROUND: Artificial neural networks (ANNs) can be used to develop predictive tools to enable the ...
Laparoscopic resection of liver tumors located in the posterosuperior segments is a challenging oper...