Bringing the promise of artificial intelligence to critical care: what the experience with sepsis analytics can teach us
In 1985, development of a computer system called “Deep Thought” began at Carnegie
Mellon University with the lofty objective of developing an autonomous system capable of …
Mellon University with the lofty objective of developing an autonomous system capable of …
[HTML][HTML] AI-Driven Innovations for Early Sepsis Detection by Combining Predictive Accuracy With Blood Count Analysis in an Emergency Setting: Retrospective Study
TH Lin, HY Chung, MJ Jian, CK Chang, HH Lin… - Journal of Medical …, 2025 - jmir.org
Background Sepsis, a critical global health challenge, accounted for approximately 20% of
worldwide deaths in 2017. Although the Sequential Organ Failure Assessment (SOFA) score …
worldwide deaths in 2017. Although the Sequential Organ Failure Assessment (SOFA) score …
[HTML][HTML] Challenges of implementing the hour-1 sepsis bundle: a qualitative study from a secondary hospital in Indonesia
Background Good sepsis management is key to successful sepsis therapy and optimal
patient outcomes. Objectives: This study aimed to determine obstacles among nurses and …
patient outcomes. Objectives: This study aimed to determine obstacles among nurses and …
Evaluating the Reliability of Artificial Intelligence in Healthcare: The Doctors' Perspective in Northern Greece
E Givanoudi, E Vrochidou… - … Conference on Circuit …, 2024 - ieeexplore.ieee.org
Machine learning (ML) refers to the ability of machines to advance their performance by
relying on previous results or observations. ML algorithms empower computers to learn …
relying on previous results or observations. ML algorithms empower computers to learn …
[PDF][PDF] Quantifying Healthcare Provider Perceptions of a Novel Deep Learning Algorithm to Predict Sepsis: Electronic Survey
Background: Sepsis is a major cause of morbidity and mortality for which early intervention
improves patient outcomes. However, many patients experience delays in appropriate …
improves patient outcomes. However, many patients experience delays in appropriate …