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The denser breasts in younger women, especially Asians, make it more difficult to accurately detect tumors in breast tissue.
March 20, 2023
By: Michael Barbella
Managing Editor
Companies are increasingly leveraging 3D mammography and artificial intelligence (AI) to diagnose breast cancer and raise awareness of the disease among young South Korean women. Consequently, the region’s digital mammography equipment market is expected to grow 11.6% annually through 2030, forecasts GlobalData. The company’s report, “South Korea Mammography Equipment Market Forecast, 2015-2030,” reveals that South Korea accounts for 18% of Asia-Pacific’s mammography equipment market, which is anticipated to grow rapidly. “The denser breasts in younger women, especially Asians, make it more difficult to accurately detect tumors in breast tissue. This demands companies to effectively replace 2D mammography with AI powered 3D breast tomosynthesis (DBT) to overcome healthcare challenges,” GlobalData Medical Devices Analyst Damini Goyal said. Against this backdrop, AI-based medical imaging equipment firm Lunit has signed a contract to supply AI-based breast cancer screening solution “Lunit Insight MMG” to Hong Kong Women’s Imaging (HKWI) diagnosis imaging center and Mongolia’s National Cancer Center in December 2022. In November 2022, the company signed an agreement with CARPL.ai to accelerate AI-powered medical imaging across major international channels. Under the agreement, Lunit will deploy Lunit INSIGHT CXR, an AI solution for chest X-ray analysis, and Lunit Insight MMG in the US, Australia, Brazil, India, and Singapore via CARPL’s platform. This indicates a growing demand for advanced mammography solutions across the globe. “More such collaborations are expected between healthcare companies and tech sector amid the increasing demand of innovative mammography systems. This not only encourages domestic and international companies to invest and expand their market share but also provides convenience to radiologists in cancer detection, reduced false positives and patient recalls,” Goyal noted.
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