Latest AI and machine learning research in hospitalists for healthcare professionals.
PURPOSE: To report the trends, predictors, and patient outcomes of same-day discharge (SDD) versus n...
BACKGROUND: This study aimed to examine the performance of machine learning algorithms for the predi...
Proximal gastrectomy (PG) in combination with jejunal pouch interposition is a technique aimed at im...
Plankton are widely distributed in the aquatic environment and serve as an indicator of water qualit...
As many as 80% of critically ill patients develop delirium increasing the need for institutionalizat...
BACKGROUND: Machine learning algorithms are finding increasing use in prediction of surgical outcome...
Our objective was to detect common barriers to post-acute care (B2PAC) among hospitalized older adul...
GPT-4 is the latest version of ChatGPT which is reported by OpenAI to have greater problem-solving a...
OBJECTIVES: To report a single centre's experience of the feasibility, safety and patient acceptabil...
Electronic health records (EHRs) have been heavily used in modern healthcare systems for recording p...
In the past few years COVID-19 posed a huge threat to healthcare systems around the world. One of th...
BACKGROUND: The introduction of robotic surgical systems has significantly impacted urological surge...
As two important textual modalities in electronic health records (EHR), both structured data (clinic...
BACKGROUND: Early identification of hand-prognosis-factors at patient's admission could help to sele...
Robot-assisted partial nephrectomy (RAPN) has traditionally been performed as an inpatient procedur...
To evaluate the effects of robot-assisted rehabilitation training on knee function and the daily act...
INTRODUCTION: Deep learning may be able to assist with the prediction of neurosurgical inpatient out...
(1) Background: Length of stay (LOS) has been suggested as a marker of the effectiveness of short-te...
INTRODUCTION: Trauma patients have diverse resource needs due to variable mechanisms and injury patt...
In this study, the capabilities of classical and novel integrated machine learning models were inves...
BACKGROUND: Acute neurological complications are some of the leading causes of death and disability ...