Category ARTIFICIAL INTELLIGENCE

PIER MARIA FORNASARI
2019-10-21

Assessment of Accuracy of an Artificial Intelligence Algorithm to Detect Melanoma in Images of Skin Lesions

Source JAMA Network Open IMPORTANCE A high proportion of suspicious pigmented skin lesions referred for investigation are benign. Techniques to improve the accuracy of melanoma diagnoses throughout the patient pathway are needed to reduce the pressure on secondary care and pathology services. OBJECTIVE To determine the accuracy of an artificial intelligence algorithm in identifying melanoma

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PIER MARIA FORNASARI
2019-09-11

New AI neural network approach detects heart failure from a single heartbeat with 100% accuracy

Researchers have developed a neural network approach that can accurately identify congestive heart failure with 100% accuracy through analysis of just one raw electrocardiogram (ECG) heartbeat, a new study reports. Nearly 10 percent of adults over the age of 65 suffer from some kind of congestive heart failure (CHF). There are a variety of different

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PIER MARIA FORNASARI
2019-09-04

This Startup Used AI To Design A Drug In 21 Days

Hong Kong-based Insilico Medicine published research Monday showing that its deep learning system could identify potential treatments for fibrosis. That system, called generative tensorial reinforcement learning, or GENTRL for short, was able to find six promising treatments in just 21 days, one of which showed promising results in an experiment involving mice. The research has been

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PIER MARIA FORNASARI
2019-08-14

Artificial intelligence helps detect atrial fibrillation

Researchers in the US have developed a rapid, artificial intelligence (AI)-based test that can identify patients with an abnormal heart rhythm, even when it appears normal. This 10 second test for atrial fibrillation could be a significant improvement over current test procedures that can take weeks or even years (Lancet 10.1016/S0140-6736(19)31721-0). Atrial fibrillation is a common

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PIER MARIA FORNASARI
2019-08-10

The brain inspires a new type of artificial intelligence

Though the brain is a very slow machine, its capabilities exceed typical state-of-the-art, ultrafast artificial intelligence algorithms; hence, a revolution in deep learning must emerge, as experimentally and theoretically demonstrated by physicists Machine learning, introduced 70 years ago, is based on evidence of the dynamics of learning in our brain. Using the speed of modern

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PIER MARIA FORNASARI
2019-05-31

NIH and radiology societies map path for translational research on AI in medical imaging

A new report, with contributions from the National Institute of Biomedical Imaging and Bioengineering (NIBIB), part of the National Institutes of Health, provides a roadmap for translational research on artificial intelligence (AI) in medical imaging. The report, published in the May 28, 2019, Journal of the American College of Radiology, identifies research priorities that leverage

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PIER MARIA FORNASARI
2019-05-21

Artificial Intelligence in Health Care Will the Value Match the Hype?

Source: JAMA Artificial intelligence (AI) and its many related applications (ie, big data, deep analytics, machine learning) have entered medicine’s “magic bullet” phase. Desperate for a solution for the never-ending challenges of cost, quality, equity, and access, a steady stream of books, articles, and corporate pronouncements makes it seem like health care is on the

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PIER MARIA FORNASARI
2019-05-21

Study shows AI improves accuracy of lung cancer diagnosis

One of lung cancer’s most lethal attributes is its ability to trick radiologists. Some nodules appear threatening but turn out to be false positives. Others escape notice entirely, and then spiral without symptoms into metastatic disease. On Monday, however, Google unveiled an artificial intelligence system that — in early testing — demonstrated a remarkable talent

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