Driven by its mission to infuse artificial intelligence (AI) into Healthcare, VinBrain has developed AI-based healthcare solutions that help doctors make faster and better informed decisions, improving the quality and consistency of healthcare to the public.
Developed with the help of the powerful NVIDIA DGX A100 supercomputer, DrAid - the AI-based doctor assistant providing automated chest X-ray diagnosis and screening to radiologists has been deployed in 63 health facilities in Vietnam and will be deployed in 150 more health facilities in the country and 7 hospitals in Myanmar this year.
VinBrain is based in Hanoi, Vietnam and funded by Vingroup, the country’s largest conglomerate with a market capitalisation of around US$ 16 billion. Its development efforts are focused on applying AI in areas such as medical diagnostics, treatment, prediction and prevention, management and operational efficiency to enrich the quality of life of people everywhere.
By using AI advanced technologies such as deep learning, it aims to help radiologists detect diseases and abnormalities more accurately and consistently and at a faster speed. This is particularly impactful when 4.7 billion people in the world do not have adequate access to radiologists.
The firm has attracted a number of talented applied scientists with expertise in machine learning, computer vision, NLP and large-scale product and service development. Working in teams, these scientists reside in different parts of the world, including Vietnam, Australia, South Korea, and the United States.
Solving tougher problems
After using the previous generation NVIDIA DGX systems built on NVIDIA V100 GPUs for about a year to develop its solutions, the AI firm was among the first in the region to upgrade to the next generation NVIDIA DGX A100 toward the end of 2020.
NVIDIA DGX A100 is the world's first five petaFLOPS AI system built on NVIDIA A100 GPUs. Featuring the NVIDIA A100 Tensor Core GPU based on the NVIDIA Ampere architecture, it lets enterprises consolidate training, inference and analytics into a unified, easy-to-deploy AI infrastructure.
“We want to utilise the DGX A100 to build more sophisticated models with faster training time to solve tougher problems in relation to medical diagnosis, treatment and prevention in healthcare. Using the NVIDIA DGX A100 helps us to accelerate the development process. The system also provides us with more GPU memory and computation capacity than the previous generation NVIDIA AI system,” said Steven QH Truong, CEO, VinBrain.