China's largest market for medical artificial intelligence

The development of artificial intelligence technology has brought great changes to the vertical industry. The changes in vertical industries such as medical care , unmanned vehicles, security, and finance have received the most attention. Many well-known investors have emphasized that AI is in the vertical industry. The application can be described as "not vertical, not happy." But AI is a fire, there is a critical thinking in human values: Is the most promising technology of medical AI deep learning? What kind of technology is needed to diagnose 22,542 ICD10 diseases? Who can achieve ImageNet in the medical world?

Xinzhiyuan participated in the Smart Future·Medical Artificial Intelligence Summit on March 25th. The event was jointly organized by Huiyi Huiying and Intel Medical. Huihui Huiying was founded in 2015. Its founder, Chai Xiangfei, returned to China from Stanford University two years ago. At that time, he felt that Dr. Chun Yu was doing very well and let him see the huge innovation of medical imaging in business model. Therefore, he and Guo Na founded Huihui Huiying, which is dedicated to discovering the value of medical imaging data, and building intelligent medical imaging platforms and tumor radiotherapy platforms with cutting-edge cloud computing, big data and artificial intelligence technologies. In the process, Intel Healthcare provided a lot of support, and Huihui Huiying became a member of Intel's Joint Lab.

The guests who participated in this medical AI summit included Li Yadong, General Manager of Asia Pacific, Intel Medical and Life Sciences Department, Chai Xiangfei and Guo Na, founder of Huiyi Huiying, Chen Weiguang, partner of Lanchi Venture Partners, and Xing Lei, a tenured professor of radiotherapy at Stanford University. Zhang Qin, an academician of the International Nuclear Energy Institute, and Zhang Xiumei, deputy general manager of Wanfang Data Co., Ltd., Wang Xinjun, party secretary of the Fifth Affiliated Hospital of Zhengda, and a well-known equipment manufacturer. This article synthesizes the interviews, forums and new intellectuals interviews with Stanford Medical AI expert Xing Lei. Let us break the superstition and follow the AI ​​technology and the medical industry to uncover the status quo of Chinese medical AI.

Strengthening deep learning: The most promising technology for medical AI?

Since 2012, deep learning technology has been introduced into the image recognition dataset ImageNet (as a test standard), its recognition rate has reached new highs in recent years, and reached human level in some areas such as image classification. Deep learning technology combined with years of data in the medical imaging field has brought a surprising breakthrough in this field.

Xinzhiyuan once reported that Stanford researchers published a study on Nature. CNN did a skin cancer diagnosis and compared it with 21 dermatologists. The accuracy of the system was comparable to that of a human doctor ("at least" 91%). There is also a diagnosis of diabetic retinopathy using CNN published in JAMA. The results show that the performance of the algorithm is consistent with the performance of the ophthalmologist.

The application of CNN in medicine can be said to be augmented in top-level publications. Is deep learning technology the best technology in the field of medical imaging?

Professor Xing Lei from Stanford University told Xin Zhiyuan: Deep learning and intensive deep learning, representing the current new technology, they can solve many problems that could not be solved before, and push medical AI to a new climax.

Deep learning

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