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Artificial Intelligence in Healthcare – It’s about Time | Casey Bennett | TEDxNashville

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Published on May 18, 2016

We need tools that can help us – both clinicians and patients – make better healthcare decisions. Yet in order to do so, those tools need to “think like we do” … and the key to natural intelligence is not simply X better than Y, but rather sequences of decisions over time. To best assist us, our clinical computing tools should approximate the same process. Such an approach ties to future developments across the broader healthcare space: cognitive computing, smart homes, cyborg clinicians, and robotics.

Casey Bennett is the Chief Scientific Officer for Faros Healthcare. He received his PhD from the School of Informatics and Computing at Indiana University. His work focuses on artificial intelligence in healthcare, including the areas of robotics, machine learning, clinical decision support, and personalized medicine. He was the lead designer for Centerstone’s award-winning organization-wide analytics platform (2010 TDWI Best Practices Award) and the national Knowledge Network Data Warehouse, the largest ongoing clinical mental health data repository in the country. His work has also been featured as part of IBM’s “Smarter Planet” campaign. He is currently working on projects using artificial intelligence to augment clinical decision-making in chronic illness, as well as utilizing in-home robots for therapeutic purposes with elderly patients.

This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx

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