Artificial intelligence makes early screening "win a cancer"
Release date: 2017-06-30 A battle with almost no suspense ended with Ke Jie losing to AlphaGo 0:3. This game is AlphaGo's last Go game. The man-machine battle ended with the victory of AlphaGo, but did the development of AI enter the final chapter? the answer is negative. According to DeepMind founder Demis Hazabis, the AlphaGo team will then turn to solving new challenges facing human health and scientific research. Source: Technology Daily
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Zhu Yeqing, CEO of Zhejiang Nuohui Health Technology Co., Ltd., who participated in this man-machine battle commentary, deeply felt this. He said that the early screening of cancer that was challenged by medical technology is like the powerful opponent of AlphaGo that is the challenge of Keqi, the first person in Go today. Without the support of AI, it is impossible to screen cancer early and accurately, so in the early stage of the layout, cancer treatment has fallen.
Authoritative evaluation agency IDC has predicted that artificial intelligence technology will be widely used in medical fields such as auxiliary diagnosis and early screening. Now, the scenes in the forecast are stepping into people's lives step by step. According to reports, simply collecting your own stool samples at home and then sending them to the testing center for genetic testing can reveal the early symptoms of two high-risk cancers, bowel cancer and stomach cancer and other cancers. At present, Nuohui Health is building a mathematical model for genetic testing, working with the largest database of fecal DNA samples in China, and using artificial intelligence deep machine learning to ensure that high-risk cancer testing is as efficient as possible.
According to IDC's forecast data, by 2020, the amount of medical data will reach 40 trillion GB, and the speed of data generation and sharing will increase rapidly, and more than 80% of the data will be unstructured data. Therefore, in the face of massive and complex data that manpower is difficult to handle in the future, artificial intelligence technology will certainly be displayed on the stage of medical technology, especially in the medical fields such as auxiliary diagnosis and genetic science, including early screening, diagnosis and rehabilitation of cancer. Evaluation of surgical risks and other scenarios. Zhu Yeqing said that with the strong macro data and the vigorous artificial intelligence, the Internet medical AI model is no longer just a mirror, making precision medical treatment a viable way for future development.