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19 Feb 2020
New Artificial Intelligence Algorithm Boosts Quality of Brain Magnetic Resonance Imaging
 Researchers from the ICAI Group -Computational Intelligence and Image Analysis- of the University of Malaga {(UMA) Málaga, Spain) have designed a method that is capable of improving brain images obtained through magnetic resonance imaging using artificial intelligence (AI). The new model manages to increase image quality from low resolution to high resolution without distorting the patients' brain structures, using a deep learning artificial neural network - a model based on the functioning of the human brain - that "learns" this process.
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17 Feb 2020
New System Combines Advanced Optical Imaging with AI Algorithm to Accurately Identify Brain Tumors
 Researchers from the NYU Grossman School of Medicine (New York, NY, USA) and the University of Michigan (Ann Arbor, MI, USA) have developed a novel method of combining advanced optical imaging with an artificial intelligence (AI) algorithm to produce accurate, real-time intraoperative diagnosis of brain tumors. The imaging technique, stimulated Raman histology (SRH), reveals tumor infiltration in human tissue by collecting scattered laser light, illuminating essential features not typically seen in standard histologic images. The microscopic images are then processed and analyzed with AI, allowing surgeons to see a predicted brain tumor diagnosis in less than three minutes. Using the same technology, after the resection, the surgeons can accurately detect and remove otherwise undetectable tumor.
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China’s medical device market has been growing at a rate of around 20 percent since 2009, led by a rise in discretionary income and a fast aging population. China’s medical device market is ranked the second largest in the world and achieved a total size of USD 34.68 billion in 2013 for the first time in history.
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