Alibaba Cloud President Hu Xiaoming introduced the ET medical brain how to assist doctors in judging the thyroid node. A video presentation on a large screen shows that ET uses computer vision technology to circle knot nodes on the B-ultrasound image of the thyroid and gives it a benign image. Or malignant judgment.
"Machine should be a human assistant, not a competitor." Hu Xiaoming said that whether ET entered the medical and manufacturing fields or the launch of the machine learning platform PAI2.0 was to make artificial intelligence a complex and cutting-edge science. It is more general and provides infrastructure and intelligence engines for "all things intelligence."
Aliyun, which is far ahead of China’s cloud computing market, is starting a new journey: the road to intelligence.
Give the hospital a 24-hour "internship"
More and more medical images are presented in a digital format, which allows medical scientists to think about whether they can use machines to help doctors share some workloads. Alibaba Cloud’s artificial intelligence ET “applies for posts†and has become an “intern†in various fields. It is there for the whole day, 24 hours online, and learns how doctors “see†the results of B ultrasound to circle the nodule area. , and give a preliminary benign or malignant judgment.
The use of a large amount of medical data to train machines is the core of artificial intelligence. Deep learning technology has greatly improved the accuracy of machines in terms of “seeingâ€, “hearing†and “speakingâ€. The popularity of cloud computing has become a key factor in these technological breakthroughs. Six years ago, IBM used a room-sized computer to win the first quiz show. Now it takes only one cable to get the computing power to train massive data.
ET's "study summary" surprised the doctors. It not only shared the workload for the doctors, but also the diagnostic accuracy exceeded the average level of human doctors. The data shows that the average accuracy of human doctors is 60%-70%, and the current algorithm accuracy has reached 85%.
However, this does not mean that artificial intelligence will replace the doctor. The preliminary diagnosis made by ET will be checked by the doctor again. The doctor can also inject new knowledge into ET and “tune†ET into a versatile assistant.
This is also the definition of Alibaba Cloud President Hu Xiaoming for the ET Medical Brain at the conference. This is an open artificial intelligence system. In addition to Alibaba Cloud's artificial intelligence scientists, it will also absorb external sophisticated algorithms and medical experience, so that ET can Patient assistants, medical imaging, pharmacodynamics, drug discovery, health management, and other fields take on the role of physician assistants.
At the conference, Alibaba Cloud announced the joint Intel and linkdoc launch of the Tianchi Medical AI Series. On this platform that brings together more than 60,000 AI algorithm scientists, it is looking for an intelligent algorithm for the early diagnosis of lung cancer to determine the optimal algorithm so that the machine can pass the original CT. Image images help doctors diagnose.
Help China Manufacturing boost trillions of profits
If manufacturing industry can increase the overall yield of 1%, according to the 2016 national industrial output value calculation, this will create an overall increase in China's profit margin of trillions of dollars. The plan provided by Ali Cloud for the factory is more economical in terms of digital value. The ET industry brain released on that day was first aimed at the target of the yield of the Chinese factory.
Hu Xiaoming put forward the concept of "China's wise creation of 1%" at the scene. He hoped that the machine in the industrial production line could have an intelligent brain. "If China's manufacturing industry increases the yield rate of 1%, it means that it can increase trillions of yuan in profits in one year."
In a single case, Alibaba Cloud artificial intelligence technology has been used in China's factories, and has saved billions of dollars in cost for photovoltaic manufacturers in Jiangsu Province in one year. This figure comes from a 1% increase in yield. The ET industrial brain optimizes the precision technology of photovoltaic slices by analyzing thousands of parameters in the GCL plant.
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