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» Integrating AI to Provide Better Healthcare Experience

Integrating AI to Provide Better Healthcare Experience

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Integrating AI to Provide Better Healthcare Experience

Recently AI techniques have sent vast waves across healthcare industry. No one doubts that artificial intelligence has unimaginable potential. Within the next couple of years, it will revolutionize every area of our life. When it comes to our health, especially in matters of life and death, the promise of artificial intelligence (AI) to improve outcomes is very intriguing.

IEI medical team leverages the ample SW RD resources from QNAP to come up with the QuAI, a free app built on our QTS operating system to facilitate the evolving of AI.

Workflow of Medical AI

medical AI workflow

Medical AI Solution Products

AI Training -

GRAND -C422-20D ai training server

GRAND-C422-20D | AI training server system

  • Intel® Xeon® W family processor supported
  • PEMUX single board computer supports up to 56-lane PCIe signal
  • Water cooling system on CPU
  • Support two U.2 SSD
  • Support one M.2 SSD M-key slot (NVMe PCIe 3.0 x4)
  • Support 10GbE network

AI Inference -

TANK AIoT develop kit with openvino

TANK AIoT Developer Kit

  • 6th/7th Gen Intel® Core™/Xeon® processor platform with Intel® Q170/C236 chipset and DDR4 memory
  • Dual independent display with high resolution support
  • Pre-installed Ubuntu 16.04 LTS
  • Pre-installed Intel® OpenVINO™ toolkit,Intel® Media SDK, Intel® System Studio and Arduino® Create
HTB-100-HM170 medical box PC

HTB-100-HM170 | Medical box PC

  • Triple independent display with high resolution support Optional QuAI, an AI/ML/DL solution
  • Isolated COM ports for enhancing safety among devices

- Operating Theater Products and Applications

Acceleration Card -

MUSTANG-V100 VPU Card

Mustang-V100-MX8 | VPU accelerator card

  • An Intel® Vision Accelerator Design Product
  • Powered by Open Visual Inference & Neural Network Optimization (OpenVINO™) toolkit
  • Supported OpenVINO™ toolkit, AI edge computing ready device.
  • Low power consumption ,approximate 2.5W for each Intel® Movidius™ Myriad™ X VPU.
  • Eight Intel® Movidius™ Myriad™ X VPU can execute eight topologies simultaneously.

- IEI Deep Learning Inference Acceleration Card - Mustang V100 

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