Surviving sepsis campaign research priorities 2023
D De Backer, CS Deutschman, J Hellman… - Critical Care …, 2024 - journals.lww.com
OBJECTIVES: To identify research priorities in the management, epidemiology, outcome,
and pathophysiology of sepsis and septic shock. DESIGN: Shortly after publication of the …
and pathophysiology of sepsis and septic shock. DESIGN: Shortly after publication of the …
[HTML][HTML] The critical role of neutrophil-endothelial cell interactions in sepsis: new synergistic approaches employing Organ-on-Chip, omics, immune cell phenotyping …
D Liu, JC Langston, B Prabhakarpandian… - Frontiers in Cellular …, 2024 - frontiersin.org
Sepsis is a global health concern accounting for more than 1 in 5 deaths worldwide. Sepsis
is now defined as life-threatening organ dysfunction caused by a dysregulated host …
is now defined as life-threatening organ dysfunction caused by a dysregulated host …
[HTML][HTML] Impact of a deep learning sepsis prediction model on quality of care and survival
Sepsis remains a major cause of mortality and morbidity worldwide. Algorithms that assist
with the early recognition of sepsis may improve outcomes, but relatively few studies have …
with the early recognition of sepsis may improve outcomes, but relatively few studies have …
Information displays for automated surveillance algorithms of in-hospital patient deterioration: a scoping review
YKJ Wan, MC Wright, MM McFarland… - Journal of the …, 2024 - academic.oup.com
Objective Surveillance algorithms that predict patient decompensation are increasingly
integrated with clinical workflows to help identify patients at risk of in-hospital deterioration …
integrated with clinical workflows to help identify patients at risk of in-hospital deterioration …
[HTML][HTML] Subtle variation in sepsis-III definitions markedly influences predictive performance within and across methods
Early detection of sepsis is key to ensure timely clinical intervention. Since very few end-to-
end pipelines are publicly available, fair comparisons between methodologies are difficult if …
end pipelines are publicly available, fair comparisons between methodologies are difficult if …
[HTML][HTML] Fall prediction in a quiet standing balance test via machine learning: Is it possible?
J Pennone, NF Aguero, DM Martini, L Mochizuki… - PLoS one, 2024 - journals.plos.org
The elderly population is growing rapidly in the world and falls are becoming a big problem
for society. Currently, clinical assessments of gait and posture include functional …
for society. Currently, clinical assessments of gait and posture include functional …
[HTML][HTML] A scoping review of machine learning for sepsis prediction-feature engineering strategies and model performance: a step towards explainability
S Bomrah, M Uddin, U Upadhyay, M Komorowski… - Critical Care, 2024 - Springer
Background Sepsis, an acute and potentially fatal systemic response to infection,
significantly impacts global health by affecting millions annually. Prompt identification of …
significantly impacts global health by affecting millions annually. Prompt identification of …
[HTML][HTML] Prospective evaluation of a machine learning-based clinical decision support system (ViSIG) in reducing adverse outcomes for adult critically ill patients
AA Kramer, M LaFonte, I El Husseini, R Cary… - Informatics in Medicine …, 2024 - Elsevier
Introduction Prospective clinical evaluations of decision support tools for the ICU are almost
non-existent. We sought to test whether a novel clinical decision support tool called ViSIG …
non-existent. We sought to test whether a novel clinical decision support tool called ViSIG …
[HTML][HTML] Application of AI in Sepsis: Citation Network Analysis and Evidence Synthesis
Background: Artificial intelligence (AI) has garnered considerable attention in the context of
sepsis research, particularly in personalized diagnosis and treatment. Conducting a …
sepsis research, particularly in personalized diagnosis and treatment. Conducting a …
Early identification of suspected serious infection among patients afebrile at initial presentation using neural network models and natural language processing: A …
DH Choi, SW Choi, KH Kim, Y Choi, Y Kim - The American Journal of …, 2024 - Elsevier
Objective To develop and externally validate models based on neural networks and natural
language processing (NLP) to identify suspected serious infections in emergency …
language processing (NLP) to identify suspected serious infections in emergency …