According to a recent report in Kurzweil
Accelerating Intelligence, Samsung Medison has updated its RS80A
ultrasound-imaging machine with a feature called S-Detect for Breast that
analyzes breast lesions. The system uses big data collected from breast-exam
cases and suggests whether the lesion is benign or malignant.
Source: QMED
"We saw a high level of conformity
from analyzing and detecting lesion in various cases by using the
S-Detect," said professor Han Boo Kyung, a radiologist at Samsung Medical
Center. "Users can reduce taking unnecessary biopsies and
doctors-in-training will likely have more reliable support in accurately
detecting malignant and suspicious lesions."
Researchers at the Regenstrief Institute
and Indiana University School of Informatics have also noticed that computers
are better than humans in detecting cancer. According to their research,
existing algorithms and open-source, machine-learning tools are as good or even
better than human when detecting cancer cases using data from free-text
pathology reports. The electronic approach was also faster and used fewer
resources than people, according to Regenstreif.
"We think that it’s no longer
necessary for humans to spend time reviewing text reports to determine if
cancer is present or not," said author Shaun Grannis, MD, interim center
director. "We have come to the point in time that technology can handle
this. A human's time is better spent helping other humans by providing them
with better clinical care."
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