NVIDIA Is Fighting A whole New AMD With Its AI Power | AMD The Eye Disease

Nvidia investments BlazingDB Graphistry H2O-ai Credit by NVIDIA

Nvidia investments BlazingDB Graphistry H2O-ai  Credit by NVIDIA

Nvidia has been very active and focused on AI in 2017 and has done much more campaign on it’s Artificial intelligence products, markets and conferences in AI area than the gaming market that Nvidia is usually known for. AMD is now the new target for Nvidia. AMD or Macular degeneration and Age-related macular degeneration, known as AMD, is a leading cause of vision loss and blindness for Americans over 50. So far There’s no cure. Nvidia products and CODA based AI platforms can help the healthcare industry understand the traces and start detecting AMD sooner that it is too late. Nvidia has already entered AI in health care in Medical imaging and GE and this is not the first time we see NVIDIA come to health care

industry. For AMD detection is the most important part of the treatment process and Lee is experimenting with Nvidia based systems using Titan X coda power to create a way to make it happen.

“People (with AMD) are suffering. Everywhere you look, there’s a blurry spot in the center,” said Dr. Aaron Lee, a University of Washington opthamologist and assistant professor who specializes in problems of the retina

AI has very different angels to look at the issue and Lee believes AI can help with AMD that cause vision loss, Eye showing advanced macular degeneration, Advanced macular degeneration. Nvidia VOLTA/Pascal GPU-accelerated deep learning is putting its focus on healthcare again and now EYE care is being revolutionized. NVIDIA AI Technology can detect signs of disease that doctors miss in medical images, or speed up diagnosis so doctors can start treatments sooner than they usually do, Lee believes. Lee is developing deep learning algorithms that spot AMD and macular edema, a condition that damages central vision. If This spotting and detection goes well it can lead to much more treatment options for the patients. Among medical fields, right now ophthalmology is one of the the best suited to benefit from Nvidia GPU-accelerated deep learning and AI detection technology, Lee mentioned.

The Test is called optical coherence tomography (OCT), and it uses light waves to take cross-section pictures of the retina in eye. Doctors should perform about five million OCT tests a year to be able to diagnose conditions like AMD, glaucoma and diabetic retinopathy. Researchers linked 100,000 patient OCT scans to their electronic health records to create the AMD-detecting algorithm to make a giant database for the NVIDIA GPUs to process and go through to make the analysis and learn the patterns from it. They trained a neural network to identify patients with AMD based on the learning path, reaching an accuracy rate of about 93 percent, using the NVIDIA CUDA parallel computing on NVIDIA AI VOLTA based GPUs and GeForce GTX TITAN X GPUs with the cuDNN-accelerated Python Caffe deep learning framework. That AMD algorithm in the new Nvidia based system was done about only three weeks, somthing that would take much longer in a regular machine. Here is Lee on advantages of GPU-accelerated deep learning.

“I saw there was something amazing going on here,” he said. “It would have been impossible using regular computer architecture to process a dataset of that size and train a neural network as large as the one that we used.”

Tags: Technology, nvidia, nvda, nvidia ai, ai, ai in healthcare, nvidia ai in eye care, AMD, Age-related macular degeneration, Age-related macular degeneration AMD,

Mohsen Daemi
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