President Trump unveils the latest in Medical Testing Technology
The White House announces a new medical testing scanner that is quick to diagnose President Trump. Credit The Late Show with Stephen Colbert
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kindelfiretech's comment,
April 4, 2020 1:45 AM
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Richard Platt's curator insight,
August 28, 2018 1:44 PM
When it comes to fighting cancer, nearly all technologies can be explored as potential solutions. Thanks to a team of engineers, doctors might have a new Artificial Intelligence (AI) program to help them and their patients fight against the deadly disease. Researchers from the University of Central Florida's Center for Research in Computer vision created an AI with impeccable 'vision' for spotting small tumors in CT scans. Most human radiologists have a success rate of 65 percent in identifying smaller tumors on a scan, the team noted. This new AI system bumps that percentage up to 95 percent accuracy, giving the radiologists a second set of keen 'eyes' for them to use. Training the AI to sniff out tumorsLike many AI systems, it needed to learn what exactly a tumor looked like and how those tumors vary in different parts of the body. “We used the brain as a model to create our system,” said Rodney LaLonde, a doctoral candidate. (In addition to being a computer science engineer, LaLonde also serves as captain of UCF’s hockey team.) LaLonde was assisted by Engineering Assistant Professor Ulas Bagci. “You know how connections between neurons in the brain strengthen during development and learn? We used that blueprint, if you will, to help our system understand how to look for patterns in the CT scans and teach itself how to find these tiny tumors," LaLonde continued. The engineers took a cue from popular facial recognition algorithms, like the one found in the iPhone X. Most of that software continually scans faces in order to find a particular pattern, and in those patterns, eventually, finds a match. In this case, the team collaborated with the National Institute of Health and the Mayo Clinic to scan thousands of CT scans into their AI software. Each CT scan taught the AI what to look for in tumor size and shape, among other trademarks. Improving chances by improving technology“I believe this will have a very big impact,” Bagci said. Bagci has worked extensively in biomedical imaging and machine learning, hoping to improve the state of clinical imaging. Before coming to UCF, he was the lab manager for NIH's Center for Infectious Disease Imaging Lab in Radiology and Imaging Sciences. “Lung cancer is the number one cancer killer in the United States and if detected in late stages, the survival rate is only 17 percent," he explained. "By finding ways to help identify earlier, I think we can help increase survival rates.” |
tlin's curator insight,
October 23, 2019 6:55 PM
I think this will not only bring make them understand the methods they haven't tried, but they also bring some benefits to their condition.
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