![NVIDIA GTC 2021 - Scan CEO Session [SS33047] - Tune in on Monday 12th April 2021! @scanAIandEnterprise](https://i.ytimg.com/vi/vRkXEFKXKyg/maxresdefault.jpg)
Uploaded April 2021 | Updated September 2026, 2 weeks ago
Scan CEO Elan Raja will be presenting at GTC 2021 on the 'Design and Delivery of a GPU-Accelerated Medical Image Repository for AI-Enhanced Diagnosis and Decision-making'. The session ID is [SS33047] - be sure to register if you haven't done so already. The session will be available here from 17:00 PM on the 12th April 2021 - gtc21.event.nvidia.com/media/1_tvrvz1yo?ncid=ref-spo-47640.
Here is a description of the session:
Scan Computers' Deep Learning & AI team worked in collaboration with NVIDIA, Mellanox, and NetApp to deliver a novel AI-powered project for the London Medical Imaging and AI Centre. Understand how a GPU-accelerated hardware stack was designed and deployed to provide patient data insight and enhance medical decision-making within a highly regulated U.K. health-care environment. Learn how the dual objectives of rapid data insight and preservation of patient privacy can be delivered simultaneously, and how the system was conceived to be scalable to handle a daily influx of new data and yet have the capability to learn from this data using specifically tailored machine learning and AI algorithms. Reference architecture details of the hardware and software elements will be presented.
Get in touch with the Scan AI team here - ai@scan.co.uk / 01204 474747
Remember to subscribe and follow us on social media:
LinkedIn - linkedin.com/company/scan-computers-international-ltd-
Facebook - facebook.com/ScanBusiness
Twitter - twitter.com/Scan_Business
Scan CEO Elan Raja will be presenting at GTC 2021 on the 'Design and Delivery of a GPU-Accelerated Medical Image Repository for AI-Enhanced Diagnosis and Decision-making'. The session ID is [SS33047] - be sure to register if you haven't done so already. The session will be available here from 17:00 PM on the 12th April 2021 - gtc21.event.nvidia.com/media/1_tvrvz1yo?ncid=ref-spo-47640.
Here is a description of the session:
Scan Computers' Deep Learning & AI team worked in collaboration with NVIDIA, Mellanox, and NetApp to deliver a novel AI-powered project for the London Medical Imaging and AI Centre. Understand how a GPU-accelerated hardware stack was designed and deployed to provide patient data insight and enhance medical decision-making within a highly regulated U.K. health-care environment. Learn how the dual objectives of rapid data insight and preservation of patient privacy can be delivered simultaneously, and how the system was conceived to be scalable to handle a daily influx of new data and yet have the capability to learn from this data using specifically tailored machine learning and AI algorithms. Reference architecture details of the hardware and software elements will be presented.
Get in touch with the Scan AI team here - ai@scan.co.uk / 01204 474747
Remember to subscribe and follow us on social media:
LinkedIn - linkedin.com/company/scan-computers-international-ltd-
Facebook - facebook.com/ScanBusiness
Twitter - twitter.com/Scan_Business
![NVIDIA GTC 2021 - Scan CEO Session [SS33047] - Tune in on Monday 12th April 2021!](https://i.ytimg.com/vi/vRkXEFKXKyg/mqdefault.jpg "NVIDIA GTC 2021 - Scan CEO Session [SS33047] - Tune in on Monday 12th April 2021!
Scan CEO Elan Raja will be presenting at GTC 2021 on the Design and Delivery of a GPU-Accelerated Medical Image Repository for AI-Enhanced Diagnosis and Decision-making. The session ID is [SS33047] - be sure to register if you havent done so already. The session will be available here from 17:00 PM on the 12th April 2021 - https://gtc21.event.nvidia.com/media/1_tvrvz1yo?ncid=ref-spo-47640.
Here is a description of the session:
Scan Computers Deep Learning & AI team worked in collaboration with NVIDIA, Mellanox, and NetApp to deliver a novel AI-powered project for the London Medical Imaging and AI Centre. Understand how a GPU-accelerated hardware stack was designed and deployed to provide patient data insight and enhance medical decision-making within a highly regulated U.K. health-care environment. Learn how the dual objectives of rapid data insight and preservation of patient privacy can be delivered simultaneously, and how the system was conceived to be scalable to handle a daily influx of new data and yet have the capability to learn from this data using specifically tailored machine learning and AI algorithms. Reference architecture details of the hardware and software elements will be presented.
Get in touch with the Scan AI team here - ai@scan.co.uk / 01204 474747
Remember to subscribe and follow us on social media:
LinkedIn - https://www.linkedin.com/company/scan-computers-international-ltd-/
Facebook - https://www.facebook.com/ScanBusiness/
Twitter - https://twitter.com/Scan_Business")
