Results 221 to 230 of about 74,936 (290)
Abstract Purpose Data on the reliability of point‐of‐care (POC) tests for the rapid diagnosis of periprosthetic joint infections (PJI) using synovial fluid (SF) D‐dimer (DD), interleukin 6 (IL‐6) and procalcitonin (PCT) are limited. This study aimed to address this issue by evaluating the diagnostic accuracy of POC tests for SF DD, IL‐6 and PCT in ...
Sujeesh Sebastian +6 more
wiley +1 more source
Performance of a Sepsis Prediction Model Across Different Sepsis Definitions.
Dutta S +7 more
europepmc +1 more source
Prediction of Adverse Events in Single Ventricle Physiology Infants Using Artificial Intelligence Tools. [PDF]
Yu M +7 more
europepmc +1 more source
Phenotypic Subtypes of Obstructive Eustachian Tube Dysfunction as Defined by Cluster Analysis
Obstructive ETD encompasses five clinically distinct phenotypes, ranging from mild, post‐upper respiratory infection presentations to chronic, bilateral disease driven by sinusitis and reflux. These were identified through hierarchical cluster analysis of 490 patients using seven key clinical variables.
Jenilkumar H. Patel +4 more
wiley +1 more source
Simultaneous prediction and optimisation of rock fragmentation and ground vibration using an ANN-RF ensemble in open-pit blasting. [PDF]
Saubi O +3 more
europepmc +1 more source
Machine Learning for Dynamic and Short-Term Prediction of Preeclampsia Using Routine Clinical Data.
Li H +7 more
europepmc +1 more source
Preoperative malnutrition and risk of re-revision and mortality following revision arthroplasty - Correspondence. [PDF]
Miao S, Zhang Y, Yue Q, Zhang X.
europepmc +1 more source
ABSTRACT Molecular diagnostics have become an important adjunct to ultrasonography and fine‐needle aspiration (FNA) for thyroid nodules, especially in Bethesda III/IV cytology where malignancy risk is uncertain. This narrative review summarizes the diagnostic and prognostic value of key genomic drivers (BRAF V600E, RAS, RET, TERT, and selected fusions)
Guohui Xiao +14 more
wiley +1 more source
Prediction models for high-grade cervical lesions or worse using machine learning. [PDF]
Deng Y +7 more
europepmc +1 more source

