AI Helps Doctors Diagnose Lung Cancer with 97 Percent Accuracy

Artificial Intelligence, Computer Vision & Machine Vision, cuDNN, Machine Learning & Artificial Intelligence, Medical Imaging, Tesla

Nadeem Mohammad, posted Sep 18 2018

According to the American Cancer Society, over 200,000 people in the United States are diagnosed with lung cancer every year.

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AI Can Generate Synthetic MRIs to Advance Medical Research

Artificial Intelligence, Features, Computer Vision & Machine Vision, Image Processing, Image Recognition, Machine Learning & Artificial Intelligence, Medical Imaging, NVIDIA Research

Nadeem Mohammad, posted Sep 16 2018

Artificial intelligence is revolutionizing how medical images are interpreted, helping medical professionals save time analyzing magnetic resonance imaging, CT scans, and X-rays.

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Announcing the NVIDIA Clara Platform: Bringing AI to the Next Generation of Medical Instruments

Artificial Intelligence, Computer Vision & Machine Vision, Machine Learning & Artificial Intelligence, Medical Imaging

Nadeem Mohammad, posted Sep 12 2018

At GTC Japan in Tokyo, NVIDIA unveiled the Clara platform, a revolutionary computing architecture based on the NVIDIA Xavier AI computing module and NVIDIA Turing GPUs.

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Fujifilm Becomes First Company in Japan to Adopt the NVIDIA DGX-2 Supercomputer

Accelerated Computing, Artificial Intelligence, Cluster/Supercomputing, Computer Vision & Machine Vision, Healthcare & Life Sciences, Machine Learning & Artificial Intelligence, Medical Imaging

Nadeem Mohammad, posted Sep 12 2018

Fujifilm has become the first company in Japan to adopt the NVIDIA DGX-2 AI supercomputer for their AI development in healthcare, medical imaging, and its highly functional materials for displays.

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Diagnose Heart Disease with AI

Research, cuDNN, GeForce, Healthcare & Life Sciences, Higher Education / Academia, Image Recognition, Machine Learning & Artificial Intelligence, Medical Imaging

Nadeem Mohammad, posted Jul 07 2017

Stanford researchers developed a deep learning algorithm that can diagnose 14 types of heart rhythm abnormalities with cardiologist-level accuracy.

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Reducing the Risk of Second Breast Cancer Surgery with AI

Research, cuDNN, GeForce, Healthcare & Life Sciences, Higher Education / Academia, Image Recognition, Machine Learning & Artificial Intelligence, Medical Imaging

Nadeem Mohammad, posted Jun 27 2017

Researchers from Lehigh University in Pennsylvania developed a diagnostic technique that combines deep learning and cutting-edge imaging technology to detect in real-time the difference between cancerous and benign cells with over 90% accuracy.

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Deep Learning Predicts the Look of Cells

Features, Research, cuDNN, GeForce, Healthcare & Life Sciences, Image Recognition, Machine Learning & Artificial Intelligence, Medical Imaging

Nadeem Mohammad, posted Apr 07 2017

The Allen Institute for Cell Science launched a one-of-a-kind online portal of 3D cell images called Allen Cell Explorer that were produced using deep learning.

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AI-based Mobile App Tests for Parkinson’s in Minutes

Research, Healthcare & Life Sciences, Higher Education / Academia, Machine Learning & Artificial Intelligence, Medical Imaging, Tesla

Nadeem Mohammad, posted Mar 09 2017

UK researchers developed a smartphone app using deep learning that lets people with Parkinson’s disease test their symptoms at home in just four minutes.

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Google Uses AI to Diagnose Breast Cancer

Features, Research, CUDA, GeForce, Healthcare & Life Sciences, Image Recognition, Machine Learning & Artificial Intelligence, Medical Imaging, Tesla

Nadeem Mohammad, posted Mar 03 2017

Google researchers developed a deep learning-based framework that automatically identifies tumors.

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Developer Spotlight: Computational Fluid Dynamics for Surgical Planning

Research, Computational Fluid Dynamics (CFD), Healthcare & Life Sciences, Higher Education / Academia, Machine Learning & Artificial Intelligence, Medical Imaging, OpenACC, Share Your Science, Tesla

Nadeem Mohammad, posted Feb 23 2017

Todd Raeker, Research Technology Consultant at the University of Michigan shares how a group of 50 researchers at University of Michigan are using GPUs and OpenACC to accelerate the codes for their data-driven physics simulations.

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