Samsung Electronics, a leader in medical imaging technology, is showcasing its latest ultrasound, digital radiography, computed tomography (CT), magnetic resonance imaging (MRI) concept and their software innovations at the Radiological Society of North America (RSNA) 2018 Annual Meeting at McCormick Place in Chicago.
“We are pleased that Samsung’s AI technologies have been successfully applied to the existing diagnostic imaging devices and have been well received in the market,” said Dongsoo Jun, president of health & medical equipment business at Samsung Electronics and CEO of Samsung Medison. “As a comprehensive diagnostic imaging solution provider, we will continue to strengthen our technologies through collaboration with hospitals and healthcare professionals. We aim to bring together radiologists and AI to fill in the gaps for improved healthcare management.”
Samsung showcases several types of AI based diagnostic imaging software:
Digital Radiography — By using AI technology, the ‘Bone Suppression’ function, which reduces the bone signal from the chest x-ray image, clearly brings out the lung tissues obscured by the bones. ‘SimGrid’ has also been introduced as a solution to ease the workflow to replace grids, while providing excellent image quality with reduced scatter artifacts. According to a recently published study, ‘SimGrid’ provided image quality almost as good as the images taken with a physical grid. The Auto Lung Nodule Detection (ALND) is a CAD (Computer Aided Detection) solution based on AI technology used in the detection of lung nodules and is 510(k) pending. According to a recent study in press in Journal of Thoracic Imaging, ALND improved the detection sensitivity of lung cancer nodules 3 cm or smaller in chest radiographs by seven percentage points to 92 per cent, compared with the average of six chest radiologists.
At the Samsung booth, attendees will find a separate ‘AI zone’ that allows visitors to experience Samsung’s AI technology more easily. Samsung will also host a symposium that will demonstrate how its image processing technology improves diagnostic accuracy and promote radiation safety for paediatric patients.