Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
Biological fingerprints extracted from clinical images can be used for patient identity verification...
Large and medium-sized general hospitals have adopted artificial intelligence big data systems to op...
Physicians make critical time-constrained decisions every day. Clinical predictive models can help p...
Predicting the patient's in-hospital mortality from the historical Electronic Medical Records (EMRs)...
We report the world's first case series of ten robot-assisted radical prostatectomy (RARP) procedure...
PURPOSE: To report the trends, predictors, and patient outcomes of same-day discharge (SDD) versus n...
BACKGROUND: Advanced machine learning models have received wide attention in assisting medical decis...
BACKGROUND: This study aimed to examine the performance of machine learning algorithms for the predi...
Acinetobacter baumannii is a nosocomial Gram-negative pathogen that often displays multidrug resista...
The Society for Birth Defects Research and Prevention (BDRP) strives to understand and protect again...
Critical care practice has been embodied in the healthcare system since the institutionalization of ...
BACKGROUND AND AIM: Morbid obesity is associated with poorer postoperative outcomes in colorectal ca...
As many as 80% of critically ill patients develop delirium increasing the need for institutionalizat...
We conducted this study to explore the efficacy and safety of laparoscopic radical cystectomy (LRC) ...
BACKGROUND: Machine learning algorithms are finding increasing use in prediction of surgical outcome...
The novel robot-assisted (RA) technique has been utilized increasingly to improve the accuracy of ce...
BACKGROUND: Early Warning Scores (EWS) monitor inpatient deterioration predominantly using vital sig...
To compare the efficacy and safety of robot-assisted laparoscopic radical prostatectomy (RARP) perf...
Although programmed death-(ligand) 1 (PD-(L)1) inhibitors are marked by durable efficacy in patients...
Since minimally invasive liver surgery has proven benefits over open surgery, this technique should ...
Preoperative risk assessment is essential for shared decision-making and adequate perioperative care...