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.

Read more

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.

Read more

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.

Read more

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.

Read more

AI Algorithm Diagnoses Rare Eye Condition

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

Nadeem Mohammad, posted Jan 31 2017

A group of Chinese ophthalmologists and scientists developed a deep learning algorithm to identify congenital cataracts, a rare eye disease responsible for nearly 10 percent of all vision loss in children worldwide.

Read more

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.

Read more

Algorithm Identifies Skin Cancer as Accurately as a Dermatologist

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

Nadeem Mohammad, posted Jan 25 2017

Stanford researchers developed a deep learning-based algorithm to visually diagnose potential cancer.

Read more

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

Read more

AI Predicts When Heart Will Fail

Research, CUDA, Healthcare & Life Sciences, Higher Education / Academia, Image Recognition, Machine Learning & Artificial Intelligence, Tesla

Nadeem Mohammad, posted Jan 17 2017

Scientists from Imperial College London developed 3D virtual hearts from MRI scans to predict heart disease outcomes. “This is the first time computers have interpreted heart scans to accurately predict how long patients will live.

Read more

Share Your Science: Fighting Ebola with Supercomputer Simulations

Research, Cluster / Supercomputing, Computational Chemistry, Healthcare & Life Sciences, Higher Education / Academia, Molecular Dynamics, Share Your Science, Tesla

Nadeem Mohammad, posted Jan 16 2017

Thomas Cheatham, professor of Medicinal Chemistry and the director of research computing at University of Utah shares how they’re using the GPU-accelerated Blue Waters supercomputer and NVLink to compute the interactions of atoms that can lead to dru

Read more