Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
This study was aimed to investigate the air pollutants impact on heart patient's hospital admission ...
Evidence supporting the safe use of the single-port (SP) robot for partial nephrectomy is scarce. Th...
Over the last decade, a significant rise in pediatric robot-assisted minimally invasive surgeries h...
For the past 20 years, robotic surgical systems have been used for the Roux-en-Y gastric bypass (RY...
Singapore is one of the first known countries to implement an individual-centric discharge process a...
BACKGROUND: Intensive Care Resources are heavily utilized during the COVID-19 pandemic. However, ris...
Musculoskeletal research has been enriched in the past ten years with a great wealth of new discover...
BACKGROUND CONTEXT: The increasing volume of free-text notes available in electronic health records ...
AIM: To evaluate a deep-learning-based computer-aided detection (DL-CAD) software system for pulmona...
This study aimed to develop a method for detection of femoral neck fracture (FNF) including displace...
The advent of increasingly sophisticated medical technology, surgical interventions, and supportive ...
Human computer interaction (HCI) involves a multidisciplinary fusion of technologies, through which ...
BACKGROUND: Risk prediction models that estimate patient probabilities of adverse events are commonl...
Machine learning, in particular deep learning, may be able to assist in the prediction of the length...
This study aims to develop and validate prediction models for the number of all heatstroke cases, an...
The recurrence of Ischemic cerebrovascular events (ICE) often results in a high rate of mortality an...
OBJECTIVES: Classifying the possibility of home discharge is important during stroke rehabilitation ...
Disruptive innovation is an invention that disrupts an existing market and creates a new one by prov...
Any clinical decision support (CDS) design project integrating computational technologies with clini...
Although single-port robot-assisted radical prostatectomy (SP-RARP) is considered a safe and feasib...
BACKGROUND: We performed this study to establish a prediction model for 1-year neurological outcomes...