Samsung uses big data to assist doctors in diagnosis of tumors


Last updated: April 22nd, 2016 at 13:52 UTC+01:00

Samsung has announced that it has applied big data and deep learning technology in its ultrasound examination device to help doctors correctly diagnose breast tumors. The company’s deep learning algorithm, S-Detect, has been applied on the RS80A. The algorithm utilizes information from around 10,000 cases of breast tumor cases to assist doctors in the detection of tumors.

The company’s ultrasound device paired with the S-Detect algorithm identifies the size of the tumor, whether it is harmful to the patient or not, and the type of cells where the tumor is present for more precise diagnosis. It is expected that the new software will reduce unnecessary biopsies and correctly find harmful tumors. It has been jointly developed by Samsung Electronics and Samsung Medison.

The RS80A, with its new software called S-Fusion, will go on sale in Europe, the Middle East, and South Korea. It will be commercially available in the Americas, China, and Russia, depending on when it gets certification there. It is currently being tested at Charité Hospital in Germany, Mayo Clinic in the US, Samsung Medical Center, and Seoul National University Hospital in South Korea.

Via General Big DataRS80AS-DetectS-FusionSamsung Medical Center
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