
Deploying AI Platforms to Identify Sepsis
Raising Health
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Developing the TRUZ AI Model for Sepsis Identification
The chapter explores the creation of the TRUZ AI model designed for early detection of sepsis in clinical settings, aiming for real-time alerts. It discusses challenges in adapting the model to handle diverse patient data and the need for adaptive systems in healthcare decision support tools. The conversation touches on the risks and benefits of implementing alerting systems in healthcare and the importance of user experience for successful AI adoption in clinical workflows.
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