Published Research

Canadian Medical Association Journal – Clinical evaluation of a machine learning–based early warning system for patient deterioration

The implementation and clinical impact of machine learning–based early warning systems for patient deterioration in hospitals have not been well described. We sought to describe the implementation and evaluation of a multifaceted, real-time, machine learning–based early warning system for patient deterioration used in the general internal medicine (GIM) unit of an academic medical centre.

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Unlocking the Value of Your AI Pipeline

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Do You Know the Value of Your AI Portfolio?