Latest AI and machine learning research in sepsis for healthcare professionals.
This work presents an artificial intelligence (AI) framework for real-time, personalized sepsis pred...
: aspiration of total hip arthroplasty (THA) is commonly performed to assist in the diagnosis of pro...
BACKGROUND: A growing body of research suggests that the use of computerized decision support system...
Robotic assistance has improved electrode implantation precision in stereoelectroencephalography (SE...
BACKGROUND: Surgical site infection (SSI) surveillance is a labor-intensive endeavor. We present the...
Deep and organ space surgical site infections (SSI) require more intensive treatment, may result in...
Recently, the advancement in process analytical technology and artificial intelligence (AI) has enab...
Biofilms are one of the leading causes of antibiotic resistance. It acts as a physical barrier again...
The increasing prevalence of infections caused by antibiotic-resistant bacteria is a global healthca...
Glioma is heterogeneous disease that requires classification into subtypes with similar clinical phe...
BACKGROUND: Machine learning (ML) models for early identification of patients at risk of hospital-ac...
With the continuous development of information technology and the running speed of computers, the de...
Wound infection is inevitable in most patients suffering from extensive burns or chronic ulcers, and...
BACKGROUND: Monitoring the body temperature of premature infants is vital, as it allows optimal temp...
BACKGROUND: Infection prevention and control (IPC) is essential to prevent nosocomial infections. Th...
BACKGROUND AND AIMS: Endoscopic assessment of Helicobacter pylori infection is a simple and effectiv...
Undetected infection and delayed isolation of infected individuals are key factors driving the monke...
The purpose of this study is to identify additional clinical features for sepsis detection through t...
One key task in the early fight against the COVID-19 pandemic was to plan non-pharmaceutical interve...
The global increase in antimicrobial drug resistance has dramatically reduced the effectiveness of t...
To evaluate the performance of machine learning (ML) models and to compare it with logistic regressi...