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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Share Your Science: Advanced Retina Assessment and Diagnostic Services

Features, News, Research, GeForce, Healthcare & Life Sciences, Image Recognition, Machine Learning & Artificial Intelligence, Medical Imaging, Share Your Science, tensort

Nadeem Mohammad, posted Feb 14 2017

Nicholas Bedworth, founder of SocialEyes, shares how they are developing cost-effective mobile AI diagnostic tools that can provide critically-needed medical services to low-resource societies.

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Diagnosing Brain Tumors Quicker and with Higher Accuracy

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

Nadeem Mohammad, posted Feb 09 2017

Neurosurgeons and pathologists from University of Michigan Medicine developed a new imaging technique that can be used in the operating room to diagnose brain tumors more efficiently.

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Winners Announced From NVIDIA Inception Program Contest

Events, News, Business Intelligence & Analytics, CUDA, cuDNN, Defense, GeForce, Healthcare & Life Sciences, Image Recognition, Machine Learning & Artificial Intelligence, Media & Entertainment, Medical Imaging

Nadeem Mohammad, posted Jan 27 2017

Late last year, the NVIDIA Inception Program hosted a “Cool Demo Contest” for GPU-accelerated startups that are applying deep learning to their innovations.

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Share Your Science: Combating Cancer with Deep Learning

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

Nadeem Mohammad, posted Jan 24 2017

Le Lu, staff scientist at the National Institutes of Health (NIH) shares how they are applying artificial intelligence techniques to assist cancer clinicians make better diagnostic decisions.  Using NVIDIA Tesla GPUs and the cuDNN-accelerated Caffe d

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