벤처, 결핵 진단 프로그램 개발, 1만장의 폐 사진을 머신러닝하여 결핵 가능성을 퍼센트로 말하는 인공지능 앞에 의사들이 섰다
South Korean startup Lunit Inc. has come under the spotlight after it unveiled a deep learning based digital image analysis solution that is expected to quickly replace the conventional medical diagnosis system with more accurate and efficient disease detection capability
The startups on the list, many of them in machine learning/deep learning, have raised more than $870M in aggregate since 2011.
We founded Lunit to study, discover, and design better models between diseases and medical images to serve as a foundation for better patient care via development of our signature Data-driven Imaging Biomarker (DIB) technology.
DIB technology is an imaging biomarker derived from large-scale medical image data. Letting the machine define important diagnostic features by itself without guidance from previously established medical criteria (defined by humans) is key to our deep learning technology. By expanding beyond the status quo scope of diagnostic criteria, we envision a constructive partnership between physicians and our technology in becoming "better together" faced with challenges in accurate diagnoses of diseases.
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