by Tom Murphy In this file photo from May 2, 2019, Cadet Cheyenne Quilter works with a virtual reality character named “Ellie” at the U.S. Military Academy at West Point, N.Y. Artificial intelligence is spreading into health care, often as software or a computer program capable of learning from large amounts of data and making...
Category: <span>Artificial Intelligence</span>
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The way a single neuron processes information is never the same
by Hillary Sanctuary, Ecole Polytechnique Federale de Lausanne How do neurons process information? Neurons are known to break down an incoming electrical signal into sub-units. Now, researchers at Blue Brain have discovered that dendrites, the neuron’s tree-like receptors, work together—dynamically and depending on the workload—for learning. The findings further our understanding of how we think and may inspire...
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There Are Two Kinds of AI, and the Difference is Important
Most of today’s AI is designed to solve specific problems. Popular Science|Dan Baum Today’s artificial intelligence is certainly formidable. It can beat world champions at intricate games like chess and Go, or dominate at Jeopardy!. It can interpret heaps of data for us, guide driver less cars, respond to spoken commands, and track down the answers to your internet search...
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AI can predict breast cancer risk up to 5 years before diagnosis
By Kate Bass, B.Sc. Reviewed by Kate Anderton, B.Sc. (Editor) A team of researchers at the Massachusetts Institute of Technology (MIT) have developed a deep learning model that can predict breastcancer from mammogram images up to five years before a diagnosis can be made by doctors. Breast cancer is the most common cancer in women and is responsible for around 500,000 deaths each year worldwide. There are now many effective treatments for breast cancer, but...
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Top Smart Algorithms In Healthcare
As artificial intelligence tools have been invading more or less every area of healthcare, we made a list to keep track of the top A.I. algorithms aiming for better diagnostics, more sophisticated patient care or further sighted predictions of diseases. The Medical Futurist Does A.I. beat doctors? Only if you have lived under a rock...
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AI can’t replace doctors. But it can make them better
A machine can collate environmental data, genetic data, and patient history way better than I can. Several years ago Vinod Khosla, the Silicon Valley investor, wrote a provocative article titled “Do We Need Doctors or Algorithms?” Khosla argued that doctors were no match for artificial intelligence. Doctors banter with patients, gather a few symptoms, hunt...
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Artificial intelligence predicts treatment effectiveness
How can a doctor predict the treatment outcome of an individual patient? Traditionally, the effectiveness of medical treatments is studied by randomised trials where patients are randomly divided into two groups: one of the groups is given treatment, and the other a placebo. Is this really the only reliable way to evaluate treatment effectiveness, or...
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Amazon’s new patent will allow Alexa to detect a cough or a cold
Amazon is constantly trying to improve Alexa, its AI-assistant. A recent patent filed by the company shows just how: it wants Alexa to notice a user’s illness by detecting a change in their voice. Furthermore, it wants to suggest medicines or a recipe for chicken soup. But that’s not it. The patent suggests Amazon wants Alexa to detect more things: Emotional...
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A diagnostic tool to save lives and prevent brain damage
A new study confirms the efficacy of a new diagnostic tool that utilizes ultrasound to measure intracranial pressure following accidents. The technology will now be provided with artificial intelligence so that ambulance personnel can carry out examinations at accident scenes. Image: By examining the patient’s eye with ultrasound, doctors can reveal high brain pressure. In...
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Coming soon, computers that will read your heart tests
Tapping into the technology behind facial recognition programs and self-driving cars, researchers in a new study have taught computers key elements of assessing echocardiograms. The advance might simplify an otherwise extensive process now done by humans. Researchers created algorithms to recognize images and potential heart problems that echocardiograms commonly capture, including enlarged chambers, diminished pumping...