Latest AI and machine learning research in infection control for healthcare professionals.
BACKGROUND: Although prediction of hospital readmissions has been studied in medical patients, it has received relatively little attention in surgical patient populations. Published predictors require information only available at the moment of discharge. The authors hypothesized that machine learning approaches can be leveraged to accurately predict readmissions in postoperative patients from the...
With the change of medical diagnosis and treatment mode, the quality of medical image directly affects the diagnosis and treatment of the disease for doctors. Therefore, realization of intelligent image quality control by computer will have a greater auxiliary effect on the radiographer's filming work. In this paper, the research methods and applications of image segmentation model and image class...
OBJECTIVES: To deploy machine learning tools (random forests) to develop a model that reliably predicts hospital mortality in children with acute infe...
In the 5P medicine (Personalized, Preventive, Participative, Predictive and Pluri-expert), the general trend is to process data by displacing the bary...
In hospital management, health technology assessment techniques are being increasingly developed. This paper presents a comparison of the results obta...
BACKGROUND: Hospital length of stay (LOS) is an important quality metric for total hip arthroplasty. Accurately predicting LOS is important to expecta...
The objective of this study was to design and develop a 30-day risk of hospital readmission predictive model using machine learning techniques. The pr...
Surgical site infections are an important health concern, particularly in low-resource areas, where there is poor access to clinical facilities or tra...
Home hospitalization (HH) is presented as a healthcare alternative capable of providing high standards of care when patients no longer need hospital f...
Robotic assistance presents an opportunity to benefit the lives of many people with physical disabilities, yet accurately sensing the human body and t...
OBJECTIVEPatient-reported outcome measures (PROMs) following decompression surgery for lumbar spinal stenosis (LSS) demonstrate considerable heterogen...
BACKGROUND: Infection diagnosis can be challenging, relying on clinical judgement and non-specific markers of infection. We evaluated a supervised mac...
To recognize the efficacy and safety of paritaprevir/ritonavir-ombitasvir combined with dasabuvir (OBV/PTV/RTV+DSV) in the treatment of genotype 1b c...
Present study is conducted to investigate the efficacy and safety of application of low-molecular-weight heparin calcium in the prophylaxis of deep ve...
Medical images have become increasingly important in clinical practice and medical research, and the need to manage images at the hospital level has b...
This article presents the thorough design procedure, specifications, and performance of a mobile social robot friend Arash for educational and therape...
This work was part of a National Institute for Health Research participatory action research and practice development study, which focused on the use ...
This is a retrospective case-control study.The aim of this study was to compare the surgical results of percutaneous kyphoplasty (KP) and posterior sp...
BACKGROUND: Ready to use caspofungin infusion bags are centrally prepared in the Hospital Pharmacy, University Hospital of Heidelberg, for economic re...
Several kinds of event log data produced in daily clinical activities have yet to be used for secure and efficient improvement of hospital activities....