Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
At the dawn of the fourth industrial revolution, the healthcare industry is experiencing a momentous...
This study investigates the relationships which deep learning methods can identify between the input...
This study was aimed to investigate the air pollutants impact on heart patient's hospital admission ...
: A few deep learning studies have reported that combining image features with patient variables enh...
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...
BACKGROUND: Intensive Care Resources are heavily utilized during the COVID-19 pandemic. However, ris...
Singapore is one of the first known countries to implement an individual-centric discharge process a...
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 ...
The advent of increasingly sophisticated medical technology, surgical interventions, and supportive ...
Machine learning, in particular deep learning, may be able to assist in the prediction of the length...
BACKGROUND: Risk prediction models that estimate patient probabilities of adverse events are commonl...
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...
Current approaches to understanding medication ordering errors rely on relatively small manually cap...