Samsung unveils new AI integrated medical imaging software

Samsung has revealed a number of AI-powered pieces of medical imaging equipment to help amplify medical professionals' accuracy when detect ailments


Samsung unveiled a number of new innovations for diagnostic imaging equipment which it has integrated with AI software to increase their inherent accuracy. The tech giant showcased the new software at the 2018 Radiological Society of North America Annual Meeting (RSNA 2018) in Chicago.

In August 2018, Samsung revealed that it would be moving away from its primary focus on smartphones following a marked slowing down of smartphone sale over the last 12 months. The company announced it would instead be investing $22bn in emerging technology such as AI, 5G and components for self-driving cars and biopharmaceuticals.

In keeping with that pledge, Samsung revealed some of the imaging devices it has been imbuing with AI at the Chicago conference. This included the S-Detect, an ultrasound system capable of detecting breast lesions at a higher degree of accuracy, which is also capable of incorporating the BI-RADS atlas, the American College of Radiology's text on standardized breast imaging terminology.

Visit Innovation Enterprise's Machine Learning Innovation Summit, part of the DATAx New York festival, on December 12–13, 2018

This will aid physicians, many who may not be breast imaging experts, to better diagnose lesions as the system will be capable of producing a standardized report following a check-up. A study by Tommaso Bartolotta, a radiology professor at the University of Palermo in Italy, stated that the software led to a 4% increase (from 83% to 87%) in the diagnostic accuracy for doctors with four or fewer years of experience.

Other tech unveiled by Samsung included the SimGrid which utilizes AI for its "Bone Suppression" function which allows X-rays to form better images of lung tissue normally obscured by chest bones. The Auto Lung Nodule Detection is a computer-aided detection (CAD) solution which a study in the Journal of Thoracic Imaging claimed brought up lung nodule examination accuracy by several percent to 92%.

"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 and medical equipment business at Samsung Electronics, during the Chicago event.

"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," he added.

How to use ml to develop wireframes for your mobile apps small

Read next:

How to use ML to develop wireframes for your mobile apps