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Machine Learning in Clinical Practice:  Using Commonly Available Lab Data for Early Identification of Potential Lower GI Pathology

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Sponsored by: Medial EarlySign

Machine Learning algorithms can find subtle signs of serious disease that are often missed by even the most astute clinicians. These powerful prediction tools can save lives through earlier detection, but only if they are operationalized effectively.  

In this webinar, Dr. William Manard, SLUCare CMIO, and Dr. Jeremy Orr, CMO of Medial EarlySign, will explain how a validated algorithm for the detection of occult bleeding related to lower GI disorders is being put into practice at SLUCare.  

The webinar will include a brief explanation of machine learning on clinical data, model performance characteristics, validation studies, technical and workflow considerations, and the challenges of clinical implementation of such models.

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