Latest AI and machine learning research in sepsis for healthcare professionals.
Development of oral, broad-spectrum therapeutics targeting SARS-CoV-2, its variants, and related cor...
OBJECTIVE: This study aimed to evaluate the accuracy and reliability of responses provided by three ...
BACKGROUND: The annual incidence of upper gastrointestinal hemorrhage (UGIB) is about 60 cases/100,0...
BACKGROUND: Evidence suggests a bidirectional association between chronic obstructive pulmonary dise...
Sepsis is a life-threatening systemic inflammatory syndrome characterized by a complex immune biphas...
Parkinson's disease (PD) is an increasingly prevalent neurologic condition for which symptomatic, bu...
Patients after holmium laser lithotripsy have a certain probability of getting postoperative infecti...
Leaf diseases in Zea mays crops have a significant impact on both the calibre and volume of maize yi...
PURPOSE: This meta-analysis aimed to assess the diagnostic performance of artificial intelligence (A...
BACKGROUND: The identification of infection in diabetic foot ulcers (DFUs) is challenging due to var...
OBJECTIVES: This study aims to (1) review machine learning (ML)-based models for early infection dia...
BACKGROUND: Ensuring antibiotics are prescribed only when necessary is crucial for maintaining their...
Objective: The Phoenix sepsis criteria define sepsis in children with suspected or confirmed infecti...
Due to considerable tumour heterogeneity, stomach adenocarcinoma (STAD) has a poor prognosis and var...
This study aimed to develop and validate a nomogram based on lymphocyte subtyping and clinical facto...
Despite unprecedented achievements, the domain-specific application of artificial intelligence (AI) ...
Antibiotic pollution in the environment can significantly impact soil microorganisms, such as alteri...
Host-response-based diagnostics can improve the accuracy of diagnosing bacterial and viral infecti...
Sepsis is an organ dysfunction caused by a deregulated immune response to an infection. Early seps...
Source detection (SD) is the task of finding the origin of a spreading process in a network. Algor...
Contagious mastitis pathogens can be transmitted through milking. However, previously published si...