ImageBiopsy Lab, an Austrian startup, is using deep learning to diagnose osteoarthritis of the knees much more efficiently and cost-effectively using Nvidia GPUs.
According to Nvidia, "Using computer vision and deep learning algorithms, ImageBiopsy Lab is enabling doctors to gain a precise, three-dimensional understanding of two-dimensional images. The company trained its algorithms, using NVIDIA GPUs, on over 150,000 radiographs, so doctors can receive accurate measurements of the areas around the bones in the knees. The results can indicate the severity of the patient’s osteoarthritis without any further processing needed."
"Instead of having to load the X-rays from the server and then manually assess the images, doctors receive an automated analysis of radiographs, performed in real time, indicating the strength of the bone. With these processes automated, doctors can enjoy time savings of up to 90 percent compared to manual image grading, giving them more time to focus on diagnosis and building treatment plans. Through automatizing the initial stages, doctors can now make complete diagnoses for four times as many patients in the amount of time it currently takes to diagnose one. Plus, with objectively measured parameters in hand, doctors can initiate clearly defined treatment pathways, which can slow the progression of the disease."
“The power of NVIDIA’s GPUs has allowed us to accelerate the training of our networks and enabled us to deploy our product much faster,” said Richard Ljuhar, CEO and co-founder of ImageBiopsy Lab.
Nvidia Article: https://tinyurl.com/y95nt43u