A human-centered AI tool to improve sepsis management - EurekAlert!

Summary

This article outlines the development of SepsisLab, an AI tool designed to predict sepsis risk in hospital patients with the involvement of human clinicians. It highlights key computer science concepts such as imputation and machine learning, showcasing collaboration in cybernetics and AI. Tags like 'Artificial intelligence', 'Prediction', 'Sepsis', and 'Ping Zhang' reflect the focus on multidisciplinary innovation, aiming to enhance predictive accuracy and clinical decision-making.