{"id":25,"date":"2020-08-17T07:53:07","date_gmt":"2020-08-17T07:53:07","guid":{"rendered":"https:\/\/machine-learning.webcloning.com\/2020\/08\/17\/startup-lunit-uses-ai-to-help-doctors-prioritize-patients-with-covid-19-symptoms\/"},"modified":"2020-08-17T07:53:07","modified_gmt":"2020-08-17T07:53:07","slug":"startup-lunit-uses-ai-to-help-doctors-prioritize-patients-with-covid-19-symptoms","status":"publish","type":"post","link":"https:\/\/salarydistribution.com\/machine-learning\/2020\/08\/17\/startup-lunit-uses-ai-to-help-doctors-prioritize-patients-with-covid-19-symptoms\/","title":{"rendered":"Startup Lunit Uses AI to Help Doctors Prioritize Patients with COVID-19 Symptoms"},"content":{"rendered":"
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Testing for COVID-19 has become more widespread, but addressing the pandemic will require quickly screening for and triaging patients who are experiencing symptoms.<\/p>\n

Lunit<\/a>, a South Korean medical imaging startup \u2014 its name is a portmanteau of \u201clearning unit\u201d \u2014 has created an AI-based system to detect pneumonia, often present in COVID-19 infected patients, within seconds.<\/p>\n

The Lunit INSIGHT CXR system, which is CE marked, uses AI to quickly detect 10 different radiological findings on chest X-rays, including pneumonia and potentially cancerous lung nodules.<\/p>\n

It overlays the results onto the X-ray image along with a probability score for the finding. The system also monitors progression of a patient\u2019s condition, automatically tracking changes within a series of chest X-ray images taken over time.<\/p>\n

Lunit has recently partnered with GE Healthcare, which launched its Thoracic Care Suite<\/a> using Lunit INSIGHT CXR\u2019s AI algorithms to flag abnormalities on chest X-rays for radiologists\u2019 review. It\u2019s one of the first collaborations to bring AI from a medical startup to an existing X-ray equipment manufacturer, making AI-based solutions commercially available.<\/p>\n

For integration of its algorithms with GE Healthcare and other partners\u2019 products, Lunit\u2019s hardware is powered by NVIDIA Quadro P1000<\/a> GPUs, and its AI model is optimized on the NVIDIA Jetson TX2i<\/a> module. For cloud-based deployment, the company uses NVIDIA drivers<\/a> and GPUs.<\/p>\n

Lunit is a premier member of NVIDIA Inception<\/a>, a program that helps startups with go-to-market support, expertise and technology. Brandon Suh, CEO of Lunit, said being an Inception partner \u201chas helped position the company as a leader in state-of-the-art technology for social impact.\u201d<\/p>\n

AI Opens New Doors in Medicine<\/b><\/h2>\n

The beauty of AI, according to Suh, is its ability to process vast amounts of data and discover patterns \u2014 augmenting human ability, in terms of time and energy.<\/p>\n

The founders of Lunit, he said, started with nothing but a \u201ccrazy obsession with technology\u201d and a vision to use AI to \u201copen a new door for medical practice with increased survival rates and more affordable costs.\u201d<\/p>\n

<\/source>\"\"<\/picture><\/a>
Image courtesy of Lunit.<\/figcaption><\/figure>\n

Initially, Lunit\u2019s products were focused on detecting potentially cancerous nodules in a patient\u2019s lungs or breasts, as well as analyzing pathology tissue slides. However, the COVID-19 outbreak provided an opportunity for the company to upgrade the algorithms being used to help alleviate the burdens of healthcare professionals on the frontlines of the pandemic.<\/p>\n

\u201cThe definitive diagnosis for COVID-19 involves a polymerase chain reaction test to detect antigens, but the results take 1-2 days to be delivered,\u201d said Suh. \u201cIn the meantime, the doctors are left without any clinical evidence that can help them make a decision on triaging the patients.\u201d<\/p>\n

With its newly refined algorithm, Lunit INSIGHT CXR can now single out pneumonia and identify it in a patient within seconds, helping doctors make immediate, actionable decisions for those in more urgent need of care.<\/p>\n

The Lunit INSIGHT product line, which provides AI analysis for chest X-rays and mammograms, has been commercially deployed and tested in more than 130 sites in countries such as Brazil, France, Indonesia, Italy, Mexico, South Korea and Thailand.<\/p>\n

\u201cWe feel fortunate to be able to play a part in the battle against COVID-19 with what we do best: developing medical AI solutions,\u201d said Suh. \u201cThough AI\u2019s considered cutting-edge technology today, it could be a norm tomorrow, and we\u2019d like everyone to benefit from a more accurate and efficient way of medical diagnosis and treatment.\u201d<\/p>\n

The team at Lunit is at work developing algorithms to use with 3D imaging, in addition to their current 2D ones. They\u2019re also looking to create software that analyzes a tumor\u2019s microenvironment to predict whether a patient would respond to immunotherapy.<\/p>\n

Learn more about Lunit at NVIDIA\u2019s healthcare AI startups solutions webinar on August 13. Register here<\/a>.<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

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