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How AI Can Help in Medical Care and Pain Management with Sara E. Berger | Utilizing AI 3×19

Among many surprising applications, AI can be used for pain management and medical care. Neuroscientist Sara E. Berger of IBM joins Chris Grundemann and Stephen Foskett to discuss applications of machine learning in medical care. Pain management is a deeply personal field, but there are so many different data points that it can be difficult to see patterns that lead to positive outcomes. Machine learning can assist in sorting and selecting treatments, bringing in different sensors and data types to help patients. The more we see pain in a multi-disciplinary lens, and the more understanding we bring, the better the outcome for patients.

Three Questions

  1. Chris: How small can ML get? Will we have ML-powered household appliances? Toys? Disposable devices?
  2. Stephen: Is it possible to create a truly unbiased AI?
  3. Sriram Chandrasekaran, Professor at the University of Michigan: What do you think is the biggest AI technology that you can think of that will transform medicine in the future?


Sara E. Berger, PhD Neuroscientist at IBM. You can connect with Sara on LinkedIn.


  • Chris Grundemann, Gigaom Analyst and Managing Director at Grundemann Technology Solutions. Connect with Chris on on Twitter at @ChrisGrundemann.
  • Stephen Foskett, Publisher of Gestalt IT and Organizer of Tech Field Day . Find Stephen’s writing at and on Twitter at @SFoskett

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About the author

Stephen Foskett

Stephen Foskett is an active participant in the world of enterprise information technology, currently focusing on enterprise storage, server virtualization, networking, and cloud computing. He organizes the popular Tech Field Day event series for Gestalt IT and runs Foskett Services. A long-time voice in the storage industry, Stephen has authored numerous articles for industry publications, and is a popular presenter at industry events. He can be found online at,, and on Twitter at @SFoskett.

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