AI Identifies Changes In Microcirculation that Could Help Detect Sepsis

Artificial Intelligence, Computer Vision & Machine Vision, cuDNN, Healthcare & Life Sciences, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted Nov 09 2018

One in three patients who die in a U.S. hospital has sepsis, a life-threatening complication of an infection.

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AI Research Detects Glaucoma with 94 Percent Accuracy

Artificial Intelligence, Computer Vision & Machine Vision, CUDA, Healthcare & Life Sciences, Machine Learning & Artificial Intelligence, Tesla

Nadeem Mohammad, posted Nov 08 2018

Glaucoma affects more than 2.7 million people in the U.S. and is one of the leading causes of blindness in the world.

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AI Study Predicts Alzheimer’s Six Years Before Diagnosis

Artificial Intelligence, Features, Computer Vision & Machine Vision, CUDA, cuDNN, GeForce, Healthcare & Life Sciences, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted Nov 07 2018

A new study published in Radiology describes how deep learning can improve the ability of brain imaging to predict Alzheimer’s disease years before an actual diagnosis.

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Stanford Researchers Develop AI that Can Help Diagnose Alzheimer’s Disease

Artificial Intelligence, Features, Computer Vision & Machine Vision, Healthcare & Life Sciences, Image Processing, Image Recognition, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted Oct 03 2018

According to the Alzheimer’s Association, an estimated 5.7 million Americans of all ages are living with Alzheimer’s disease in the United States.

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AI Helps Detect Atrial Fibrillation Recurrence with High Accuracy

Artificial Intelligence, cuDNN, Healthcare & Life Sciences, Image Processing, Image Recognition, Machine Learning & Artificial Intelligence, Tesla

Nadeem Mohammad, posted Oct 02 2018

According to the American Heart Association, at least 2.7 million people in the United States suffer from Atrial fibrillation.

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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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Virtual AI Challenge Aims to Help Prosthetic Patients

Features, Computer Vision & Machine Vision, conference, Healthcare & Life Sciences, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted Aug 03 2018

Stanford University recently announced a crowdsourcing competition that aims to solve problems in biomechanics.

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AI Helps Detect Prostate Cancer

Accelerated Computing, Artificial Intelligence, Features, Computer Vision & Machine Vision, Healthcare & Life Sciences, Image Processing, Image Recognition, Machine Learning & Artificial Intelligence, Tesla

Nadeem Mohammad, posted Jul 16 2018

Prostate cancer is expected to be the leading source of new cancer for men and the second most frequent cause of death after lung cancer.

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AI Helps Monitor Cancer Treatment

Artificial Intelligence, Computer Vision & Machine Vision, cuDNN, GeForce, Government/National Labs, Healthcare & Life Sciences, Image Processing, Image Recognition, Machine Learning & Artificial Intelligence

Nadeem Mohammad, posted Jul 02 2018

Measuring how tumors react to cancer treatment plays a major role in determining a patient’s outcome. The process, normally performed by trained radiologists, is labor-intensive, subjective and prone to inconsistency.

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AI Can Smell Illnesses in Human Breath

Artificial Intelligence, Computer Vision & Machine Vision, Healthcare & Life Sciences, Machine Learning & Artificial Intelligence, Tesla

Nadeem Mohammad, posted Jun 27 2018

Researchers from Loughborough University, Western General Hospital, the University of Edinburgh, and the Edinburgh Cancer Centre in the United Kingdom, recently developed a deep learning-based method that can analyze compounds in the human breath

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