DiscoverHealthcare IT TalksNVIDIA and AI – The IT Journey Behind AI Adoption
NVIDIA and AI – The IT Journey Behind AI Adoption

NVIDIA and AI – The IT Journey Behind AI Adoption

Update: 2021-05-20
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We hope you enjoy the episode on practical steps to leveraging AI in healthcare organizations. Feel free to browse  resources to continue learning about AI, IHE, and interoperability.


If you’d like to hear a deep dive from Brad and on Brian on DICOM Web and how to use it in workflows, sign up for bonus content for an exclusive clip:


Bonus content: https://www.gehealthcare.com/products/healthcare-it/healthcare-it-talks-podcast#Signup




Additional resources:


IHE Whitepaper: https://www.ihe.net/uploadedFiles/Documents/Radiology/IHE_RAD_Suppl_WIA.pdf


NVIDIA Resource Hub: https://resources.nvidia.com/l/en-us-medical-imaging


Healthcare IT Talks podcast: https://www.gehealthcare.com/products/healthcare-it/healthcare-it-talks-podcast




Disclaimer (COVID NVIDIA Application): This training and inference pipeline was developed by NVIDIA. It is based on a segmentation and classification model developed by NVIDIA researchers in conjunction with the NIH. The Software is for Research Use Only. Software’s recommendation should not be solely or primarily relied upon to diagnose or treat COVID-19 by a Healthcare Professional. This research use only software has not been cleared or approved by FDA or any regulatory agency.

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NVIDIA and AI – The IT Journey Behind AI Adoption

NVIDIA and AI – The IT Journey Behind AI Adoption

Brian Green