Latest AI and machine learning research in clinical trials for healthcare professionals.
Pain is an integrative phenomenon coupled with dynamic interactions between sensory and contextual p...
PURPOSE: Radical cystectomy (RC) with urinary diversion (UD) is still considered a complex surgery a...
IMPORTANCE: To better understand the emerging role of artificial intelligence (AI) in surgical train...
STUDY DESIGN: Clinical trial.
The purpose is to strengthen Human Resources Management (HRM) through information management using A...
The process of collecting driving data and using a computational model to generate a safety score fo...
The industrial manufacturing sector is undergoing a tremendous revolution moving from traditional pr...
To compare short-term functional and surgical outcomes of robot-assisted partial nephrectomy (RAPN) ...
Minimally invasive esophagectomy for esophageal cancer decreases overall complication rate and leads...
BACKGROUND: Social robots (SRs) have been used for improving anxiety in children in stressful clinic...
Accident, injury, and fatality rates remain disproportionately high in the construction industry. In...
Enterprises today are increasingly seeking maintenance management strategies to ensure that their ma...
There is interest in whether nicotine could enhance attention in sporting performance, but evidence ...
We aimed to compare surgical, oncological, and functional outcomes of robot-assisted radical prostat...
Background Medication review is time-consuming and not exhaustive in most French hospitals. We routi...
INTRODUCTION: Driver behavior related to overtaking maneuvers, which are considered a major safety r...
Each year, 1.35 million people are killed on the world's roads and another 20-50 million are serious...
In immunotherapy, ex vivo stimulation of T cells requires significant resources and effort. Here, we...
Nanotechnology keeps drawing attention due to the great tunable properties of nanomaterials in compa...
Vibration is an indicator of performance degradation or operational safety issues of mobile cleaning...
OBJECTIVES: The aim of this study was to investigate the detection efficacy of deep learning (DL) fo...