Stanford SAIL unveils TRACER multimodal patient behavior analysis
According to Stanford AI Lab, TRACER combines bedside video and EHR data to help clinicians track and explain patient behavior changes over a hospital stay.
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Stanford AI Lab shared details on TRACER, a multimodal system that combines bedside video with electronic health records to track shifts in patient behavior throughout a hospital stay.
According to the Stanford AI Lab announcement, the tool supports clinicians by providing insights into behavioral changes using these data sources.
Stanford AI Lab
@StanfordAILabThe Stanford Artificial Intelligence Laboratory (SAIL), a leading #AI lab since 1963.