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Nvidia AI Conference Takeaway For Healthcare

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David Chou
David Chou

Nvidia continues to focus on and make progress in the healthcare industry with Clara AI, which was introduced last year. Clara AI now has 13 pre-trained modules and AI-assisted annotation enhancements for radiology. Studies have shown AI to be more accurate than physicians alone in reading radiology images. However, one challenge is gaining the trust of the healthcare community and determining how much data is needed to validate accurate AI predictions for sensitive healthcare applications.

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息 2010-2019 Constellation Research, Inc. All rights reserved. 1@dchou1107 #GTC19 Event Report: #GTC19 Nvidia making progress and maintains their focus on the healthcare industry. Healthcare Insights Clara AI Nvidia continues the progress with the Clara AI designed for healthcare. This was introduced last year and this year we have the following enhancements in radiology: 13 pre-trained module AI assisted annotation Studies have shown that AI for radiologist proves to be better in terms of accuracy than physician reading. Chous Overview: AI augment physicians, but one area must change with relentless focus. US must incorporate the pervasive use of tech and AI in medical school. This is crucial to gain AI adoption. AI will augment the physicians job but will it gain trust in the community. One question is how much data does the AI tool need in order to validate an accurate prediction. Healthcare is sensitive since we are dealing with people's life. Clara platform is a great starting point for organizations that is big on working in the open source model. Challenge is healthcare relies mostly on commercial off the shelf products to have the full implementation and support resources. Nvidia has a great toolset and API, but it is not on the CIO's radar. Working with the radiology department is a great way to get in the door, but it is also a set up for shadow IT so keep the focus on the CIO in addition to the radiology department.

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Nvidia AI Conference Takeaway For Healthcare

  • 1. 息 2010-2019 Constellation Research, Inc. All rights reserved. 1@dchou1107 #GTC19 Event Report: #GTC19 Nvidia making progress and maintains their focus on the healthcare industry. Healthcare Insights Clara AI Nvidia continues the progress with the Clara AI designed for healthcare. This was introduced last year and this year we have the following enhancements in radiology: 13 pre-trained module AI assisted annotation Studies have shown that AI for radiologist proves to be better in terms of accuracy than physician reading. Chous Overview: AI augment physicians, but one area must change with relentless focus. US must incorporate the pervasive use of tech and AI in medical school. This is crucial to gain AI adoption. AI will augment the physicians job but will it gain trust in the community. One question is how much data does the AI tool need in order to validate an accurate prediction. Healthcare is sensitive since we are dealing with people's life. Clara platform is a great starting point for organizations that is big on working in the open source model. Challenge is healthcare relies mostly on commercial off the shelf products to have the full implementation and support resources. Nvidia has a great toolset and API, but it is not on the CIO's radar. Working with the radiology department is a great way to get in the door, but it is also a set up for shadow IT so keep the focus on the CIO in addition to the radiology department.