GE Healthcare partners with Intel, speeding up its medical ambitions
GE Healthcare’s longstanding collaboration with Intel is set to be strengthened through its ambitions to enhance patient care and reduce costs for hospitals through the use of digital imaging solutions, delivered via edge and cloud.
Becoming a leading provider of medical imaging equipment, with over 50,000 employees across 100 countries, GE Healthcare will harness enhanced data and analytics to further its aims to provide greater efficiencies and reduced waiting times within diagnosis and ongoing treatment.
The collaboration will see Intel support the company’s ambitions and provide faster image processing through implementing Intel’s Xeon Scalable platform. The technology will see the total cost of ownership for imaging devices reduced by up to 25%, further supporting radiologists going forward.
“Radiologist workdays can be enhanced by use of real-time data analytics and increased performance,” explained Jonathan Ballon, Vice President Internet of Things Group at Intel.
“The combination of innovative imaging solutions from GE Healthcare with the breakthrough speed of Intel processors promises great advances in imaging that could make a real difference in patient care.”
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Both companies are also investing in a new, first-of-its-kind digital development lab in downtown Chicago, named the Joint Performance Acceleration Lab (JPAL). Dedicated to the development, testing and validation of new innovations, it will further support and enable the highest possible radiology productivity at the lowest total cost of ownership for healthcare providers and clinicians by improving the performance of their imaging fleets.
Additionally, as part of the expanded partnership, both companies will utilise a workload-optimised Wind River Titanium Control software virtualisation platform. This will enable hospitals and health systems to therefore deploy more secure, edge solutions that improve agility and reduce operating costs in healthcare environments that require real-time performance and continuous service availability.
“The combination of powerful Intel processing at the edge with Wind River’s virtualization technology allows GE Healthcare to deliver a high availability end-to-end secure healthcare solution that is game changing for the industry,” said Jim Douglas, President, Wind River.
“Through this collaboration, healthcare applications can achieve the uptime, security and low latency that is required for critical services installed at the healthcare edge.”
The collaboration builds on GE Healthcare’s recent partnership with Nvidia, where it is set to update its 500,000 medical imaging devices
NeuTigers: edge AI in healthcare
What is edge AI?
Edge AI is essentially a combination of edge computing and artificial intelligence. Algorithms are processed locally - directly on a mobile device or server - rather than in the cloud. This reduces cost, computing power and energy requirements. There are also claims that edge AI is so fast it is possible to reach near real-time analytics.
Edge AI devices include smart speakers, smart phones, laptops, robots, self-driven cars, drones, and surveillance cameras that use video analytics.
Who is NeuTigers?
NeuTigers is a spin-off company from Princeton University, formed in 2018 to apply edge AI and machine learning to solve challenges in healthcare, energy, productivity, and security.
With offices in Princeton, NJ, the company is based at one of the top AI accelerator programs of FutureLabs in New York, and has also established a subsidiary in Nice, France.
How is NeuTigers applying edge AI to healthcare?
The NeuTigers AI Technology Stack uses deep neural networks that mimic how the human brain perceives and interprets the world. The company has developed the StarDeepTM Smart Health Platform for health monitoring and biomedical imaging, to improve the accuracy and speed of diagnosing diseases.
NeuTigers say the platform has the potential to monitor and screen for thousands of conditions, when used in combination with medical devices and smart sensors already deployed in healthcare settings.
Are there any real world examples?
In January NeuTigers launched CovidDeep, a tool that predicts COVID-19 with more than 90% accuracy, using physiological data from a wristband along with blood pressure and blood oxygen readings. It then analyses the data and gives a prediction within two minutes.
This week NeuTigers announced a new study to detect the early signs of complications with sickle cell anaemia. Conducted at a hospital in Paris, the research will begin by looking at changes to skin response, heart beat, sleep and temperature to predict an acute episode of sickle cell anaemia, and how this impacts on the patients’ disease conditions and quality of life.
The second phase of the project is to expand with prospective studies across different sites in EU, Africa and the US to explore the models' accuracy and clinical effectiveness.
Adel Laoui, CEO and founder of NeuTigers, says: “The best way to deal with a crisis is to avoid it happening in the first place. We are now entering a new era where medical early warning systems have become a reality.
“We are excited at the possibility of deploying a technology that can save lives of patients dealing with sickle cell anaemia. The potential of the StarDeep platform to dramatically improve patient outcomes while slashing some of the highest costs of healthcare makes it one of the most exciting developments in preventative personal medicine.”