Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
As the experience with robot-assisted partial nephrectomy (RAPN) grows, the indications have expand...
Reliable outcome prediction in patients with fibrotic lung disease using baseline high-resolution c...
Robotic surgery has been used in urology for more than two decades. It is a minimally invasive proce...
Current monitoring of vital signs in hospital wards rely on infrequent manual measurements. This nar...
OBJECTIVE: To compare the effectiveness of Logistic regression, BP neural network and support vector...
Robot-assisted simple prostatectomy (RASP) has emerged as a safe surgical treatment for patients wi...
BACKGROUND: Breast cancer remains one of the leading malignancies in women with distinct clinical he...
In this study, we introduce an interpretable graph-based deep learning prediction model, AttentionSi...
Robotic-based rehabilitation administered by means of serious games certainly represents the frontie...
Whole Slide Images (WSIs) in digital pathology are used to diagnose cancer subtypes. The difference ...
Preterm babies in the Neonatal Intensive Care Unit (NICU) have to undergo continuous monitoring of t...
Clinical outcome prediction plays an important role in stroke patient management. From a machine lea...
Recently, in the field of minimally invasive approach, robotic technology has represented the latest...
It has been more than 10 years since the introduction of small-incision surgery for cardiac valvular...
The Robot-assisted Cardiac Surgery Council (RACSC) was established in 2015, and consists of the memb...
As the coronavirus disease 2019 (COVID-19) global pandemic continues, there is increased value in p...
Automated coding of diseases can support hospitals in the billing of inpatient cases with the health...
Unplanned hospital readmission is a problem that affects hospitals worldwide and is due to different...
OBJECTIVES: Robot-assisted coronary artery bypass grafting (CABG) has been developed as a less invas...
Existing assessment pathways for acute chest pain are often resource-intensive, prolonged, and expen...
This study aims to investigate the prediction of hospital readmission of alcohol use disorder patien...