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Machine learning rivals human skills in cancer detection

22-Apr-2016

Key points from article :

Samsung Medison has updated its RS80A ultrasound imaging system for breast-lesion analysis.

Uses big data collected from breast-exam cases and recommends whether the sample is benign or malignant.

University-Purdue University found open-source machine learning tools are faster, cheaper and better than humans in detecting cancer from pathology reports.

Shaun Grannis: “A human’s time is better spent helping other humans”

The study was published in the Journal of Biomedical Informatics.

Mentioned in this article:

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Journal of Biomedical Informatics

Scientific journal that covers research in health informatics or in translational bioinformatics.

Regenstrief Institute

Research institute in Indianapolis, Indiana.

Samsung Medison

Manufacturer of diagnostic ultrasound systems.

Shaun Grannis

Vice President Data and Analytics at Regenstrief Institute.

Topics mentioned on this page:
AI in Healthcare