Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
The number of critically ill patients has increased globally along with the rise in emergency visits...
Early and accurate prediction of the need for intubation may provide more time for preparation and i...
BACKGROUND: Explainability is one of the most heavily debated topics when it comes to the applicatio...
BACKGROUND: Surgical resection is the major way to cure pancreatic ductal adenocarcinoma (PDAC). How...
Diagnostic histopathology is a gold standard for diagnosing hematopoietic malignancies. Pathologic d...
OBJECTIVE: To propose a preliminary artificial intelligence model, based on artificial neural networ...
Machine learning offers great opportunities to streamline and improve clinical care from the perspec...
BACKGROUND: Accurately predicting patient outcomes in Severe acute respiratory syndrome coronavirus ...
BACKGROUND: Child life specialists (CLSs) play an important role in supporting patients and their fa...
BACKGROUND: Despite hospital length of stay (LOS) being shorter for robot-assisted partial nephrecto...
A 400-estimator gradient boosting classifier was trained to predict survival probabilities of trauma...
This paper analyzes a sample of patients hospitalized with COVID-19 in the region of Madrid (Spain)....
Clinical studies of telemedicine (TM) programs for chronic illness have demonstrated mixed results ...
Reducing preventable hospital re-admissions in Sickle Cell Disease (SCD) could potentially improve o...
The objective of this study was to investigate the accuracy of a Deep Neural Network (DNN) in recogn...
This study considers the use of deep learning to diagnose osteoporosis from hip radiographs, and whe...
BACKGROUND: Health claims data may be an efficient and easily accessible source to study chronic kid...
The objective of the study is to compare the safety and efficacy of robot-assisted pancreaticoduoden...
To describe urinary tract infections (UTIs) after robot-assisted radical cystectomy (RARC) and inve...
Although there is no agreement on a definition of elderly, commonly an age cutoff of ≥ 65 or 75 year...
Computed tomography (CT) is the preferred imaging method for diagnosing 2019 novel coronavirus (COVI...