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How GPUs Are Helping to Diagnose Gastrointestinal Anomalies

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In the classic 1966 science fiction film "Fantastic Voyage," a team of doctors and a space-aged submarine are shrunken and injected into an injured scientist to repair a brain clot.

While microscopic medical teams are not yet journeying into the human body, a combination of AI, deep learning and GPUs is giving us a similar perspective, starting with a detailed view of our guts.

Poland-based start-up CTA.ai has developed software called GastroView that can analyze video of the gastrointestinal tract taken with tiny cameras swallowed in the form of a capsule. This work has significantly accelerated the process of diagnosing anomalies in the colon and intestines while improving the accuracy of those diagnoses.

And then there's the matter of relieving patients from much more unpleasant diagnostic methods.

GastroView "enables examination of the gastrointestinal tract that is far more comfortable for the patient than the traditional endoscopy," said Mateusz Marmolowski, CTA.ai co-founder and CEO.

When Marmolowski and co-founder Marek Trojanowicz established the company in 2013, they originally focused on virtual and augmented reality-related technologies. But that soon shifted to applying their machine learning and image processing expertise to solving medical imaging challenges.

Hence, GastroView was born, with machine learning development occurring at the company's headquarters in Gdansk, while colleagues at MIT in Cambridge, Mass., worked on image identification.

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AI, GPU, health care, NVIDIA
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