Latest AI and machine learning research in infection control for healthcare professionals.
INTRODUCTION: The Allgemeines Krankenhaus Informations Management (AKIM) project was started at the Vienna General Hospital (VGH) several years ago. This led to the introduction of a new hospital information system (HIS), and the installation of the expert system platform (EXP) for the integration of Arden-Syntax-based clinical decision support systems (CDSSs). In this report we take a look at the...
A 60-year-old man initially presented with pain in the right upper quadrant in October 2010. A computed tomography (CT) scan of the abdomen pelvis completed at that time showed a mass at the junction of the body and tail of the pancreas and multiple large liver lesions. A CT-guided liver biopsy revealed low-grade neuroendocrine carcinoma. The patient was initially started on systemic treatment wit...
INTRODUCTION: Unplanned 30-day hospital readmission account for roughly $17 billion in annual Medicare spending. Many factors contribute to unplanned ...
At our institute, a non-suturing method for closure of the umbilical epidermis has been used in laparoscopic colorectal resection to prevent umbilical...
Improving the treatment of trauma, a leading cause of death worldwide, is of great clinical and public health interest. This analysis introduces flexi...
End-user development is a new trend to provide tailored services to dynamic environments such as hospitals. These services not only facilitate daily w...
Study Design Retrospective evaluation of prospectively collected data. Objective To evaluate infection rates following intrawound vancomycin powder ap...
BACKGROUND: In 2008, the United States spent $2.2 trillion for healthcare, which was 15.5% of its GDP. 31% of this expenditure is attributed to hospit...
Laparoscopic cholecystectomy is widely considered as the treatment of choice for acute cholecystitis. The safety of the procedure and its minimal inva...
We present a novel design of an intelligent robotic hospital bed, named Flexbed, with autonomous navigation ability. The robotic bed is developed for ...
A commonly used method for evaluating a hospital's performance on an outcome is to compare the hospital's observed outcome rate to the hospital's expe...
BACKGROUND: A precondition for the success of the prevention of SSI is the complete realisation of the proven anti-infective measures in form of the m...
Neuroradiologists rarely read a brain MRI in isolation, yet automated brain-MRI report generation has been built almost entirely for single studies. T...
Recent advances in large language models are enabling autonomous clinical agents to perform increasingly complex electronic health record (EHR) modeli...
Artificial intelligence (AI) has the potential to transform healthcare, with advanced multimodal approaches showing great promise in leveraging divers...
Hospitals are rapidly adopting artificial intelligence for triage, imaging, scheduling etc., yet most deployments remain isolated point solutions lock...
Acute myocardial infarction (AMI) is one of the leading cardiovascular diseases worldwide and remains a major cause of mortality. Early risk predictio...
Background: In Japan, acute inpatient care is divided into approximately 335 secondary medical care areas, which serve as the basic units for planning...
Conformal risk control (CRC) provides distribution-free guarantees on segmentation quality by calibrating a prediction-set threshold on held-out data....
Involving end-users in the development of an AI tool is an important facilitator to its implementation. Usability testing was therefore conducted with...