Recently, NVIDIA, a leader in visual computing technology, has collaborated with GE Healthcare, a provider of global healthcare solutions, and Nuance, a communications company, to bring artificial intelligence (AI) into the medical imaging field.
NVIDIA announced this collaboration at the North American Radiological Society (RSNA) annual meeting. The RSNA annual conference was held in Chicago. More than 50,000 professionals attended the conference this year.
500,000 GE Imaging Devices to Adopt NVIDIA Artificial Intelligence Platform
The collaboration with GE Healthcare will advance the adoption of NVIDIA artificial intelligence computing platforms in GE Healthcare's 500,000 imaging devices worldwide. The two parties will cooperate to launch Revolution Frontier CT, which is powered by NVIDIA.
Compared to the previous generation, its speed in image processing has doubled. NVIDIA will also support GE Healthcare's application intelligence analysis platform to accelerate the creation, deployment, and consumption of deep learning algorithms to meet the needs of future medical instruments.
Nuance Creates AI Market for Diagnostic Imaging
NVIDIA collaborated with Nuance, a provider of intelligent speech and speech solutions, to enable machine learning to be used by radiologists and data scientists throughout the healthcare system.
Nuance also announced its new AI Marketplace for diagnostic imaging based on NVIDIA's deep learning platform.
This collaboration will allow radiologists to participate in the creation of algorithms and then use these algorithms at any time during clinical diagnosis. These algorithms can improve the efficiency of radiologists, help them quickly detect and quantify critical clinical manifestations, and improve patient care. It is reported that Nuance's image sharing and reporting solution is currently used by 70% of radiologists.
Improve diagnosis and treatment efficiency, help doctors read 8,000 medical images daily
NVIDIA's deep learning platform includes hardware and software that trains neural networks and deploys them from the cloud to end devices. Because of this, NVIDIA has unique advantages that can serve the booming market of machine learning-driven medical imaging solutions.
NVIDIA is popularizing deep learning through its end-to-end artificial intelligence computing platform designed specifically for the healthcare community. Healthcare professionals will benefit directly and they will be able to improve the efficiency of disease screening, diagnosis and treatment.
Most medical data comes from images, and analyzing images is a very arduous task for radiologists. According to the research of AcademicRadiology magazine, in order to meet workload requirements, each radiologist must complete a CT or MRI examination report every 3-4 seconds on average within 8 hours of working days. This way, there are more than 8,000 images a day. Deep learning solutions can help radiologists quickly analyze large numbers of images to diagnose diseases faster, increase efficiency, and reduce error rates.
Kimberly Powell, vice president of NVIDIA Healthcare, said she expects to provide multiple algorithmic consistency through one-time testing to provide a single diagnosis. This vision needs to be achieved by making it easier for medical professionals to coordinate the use of multiple systems.
By working with leading healthcare organizations such as the American Radiological Society, GE Healthcare, and Nuance, NVIDIA will help launch new medical solutions and create a new landscape for the healthcare industry.
NVIDIA's platform is designed for healthcare service providers and researchers and has the power to meet the needs of tomorrow's smart instrumentation. In the future, NVIDIA will give priority to machine intelligence, create smarter hospitals, and monitor patient data to help radiologists.
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