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Clinical Decision Support Systems for Early Sepsis Detection
Clinical Decision Support Systems for Early Sepsis Detection SUMMARY: Artificial Intelligence is improving early sepsis detection within clinical decision support algorithms. The effectiveness of these algorithms can vary based on a variety of factors including
Sepsis Associated Thrombocytopenia
Triglyceride-Glucose Index in Sepsis SUMMARY: Platelets play a key role in immune response and inflammation. Sepsis, which is characterized by systemic inflammation, often presents with thrombocytopenia. Initial evaluations of novel therapeutic approaches to sepsis associated
Triglyceride-Glucose Index in Sepsis
Triglyceride-Glucose Index in Sepsis SUMMARY: Sepsis induces extensive release of inflammatory factors and stresses producing various imbalances. Insulin resistance diminishes peripheral tissue insulin sensitivity. The Triglyceride-Glucose Index (TyGI) has been presented as a surrogate marker of insulin
Sepsis Clinical Scoring Systems
Sepsis Clinical Scoring Systems SUMMARY:Sepsis scoring systems to identify patients with potential sepsis have been in use for decades.Very few have been incorporated into clinical practice due to a number of limitations.The evolution of machine learning algorithms
Smelling Sepsis with Electronic Nose (eNose) Technology
Smelling Sepsis with Electronic Nose (eNose) Technology SUMMARY:Microorganisms can release volatile organic compounds (VOCs) released through exhaled air, producing unique odors.Exhaled breath analysis is a likely and promising alternative to disease detection.eNose measurements can identify sepsis among
Machine Learning Algorithms for Sepsis Detection
Machine Learning Algorithms for Sepsis Detection SUMMARY:Early identification and treatment of sepsis is central for identification and successful treatment of sepsis.Widespread systematic sepsis screening (manual or automated) is the recommended approach to detecting early sepsis.To date, employing