Shulou(Shulou.com)06/02 Report--

2019-01-20 15:45:23

In 2018, great changes have taken place in the AI medical industry. Machine learning (ML) technology is gradually mature, AI has been applied to the problem of access to big data, medical, education and other service industries will also change, AI technology is becoming a new development and new trend in the medical field.

On January 19, at the "Global emerging Technology Summit" jointly sponsored by MIT Technology Review and DeepTech Deep Technology, Kimberly Powell, vice president of Nvidia, delivered a speech on the theme "AI brings a new turn for the medical industry", sharing some of her views on the current AI medical field.

Kimberly Powell, vice president of Nvidia (source: DeepTech)

Kimberly Powell said in his speech that the development of the artificial intelligence industry requires a large amount of important data, machine learning algorithms, and the continuous improvement of computing power. In the future, the two industries that benefit most from artificial intelligence are autopilot and medical care.

When talking about autopilot, Kimberly Powell, vice president of Nvidia, first reviewed his company's development in GPU. In 1999, NVIDIA released GPU for games. Later, he continued to make achievements in high-performance computing, deep learning, intelligent transportation and intelligent medicine. Now, Nvidia has helped build the world's largest superbrain in the United States, adapting to all devices through CUDA's data model.

(source: Nvidia)

They test a car with self-driving technology on the road, and the switch to start the car is controlled only by voice, and it can drive smoothly on the road without human operation to sense its environment and navigation.

Behind this autopilot technology, through multiple sensors to simulate driving data, deep learning algorithm, through the automated carrier to form a very realistic virtual driving state. In this state, the driving behavior of the driver is simulated to form an automatic driving control. It is worth noting that in the process of driving, the state and behavior of drivers are complex and changeable, and it is difficult to capture data normally. However, Nvidia can make it on the road smoothly through machine algorithm and deep learning.

According to reports, Nvidia is also exploring the use of self-driving cars to really hone AI technology, and then expand these technologies to other industries.

(source: DeepTech)

Speaking of the medical field, Nvidia Vice President Kimberly Powell said that in the past year, artificial intelligence has discovered some important phenomena in the whole medical field.

First of all, in the field of medical imaging, in the field of traditional medicine, people need to rely on many tools to collect health data. Ordinary medical imaging can see the situation in the human body by collecting all kinds of body data. But it's just a simple tool.

Recently, Nvidia has reached a deep cooperation with Canon Intelligence, GE Healthcare (General Electric Healthcare Group) and Siemens to calculate the dose of contrast media with artificial intelligence, carry out advanced AI algorithm, and intelligently identify human anatomical structures in clinical trials, greatly accelerate the speed of medical data processing, improve the quality of medical imaging, and enhance patients' experience.

Kimberly Powell, vice president of Nvidia, said that using the traditional method, it is impossible for doctors to see the whole human body in one picture, and radiologists need more help, but after the opportunity AI algorithm, the situation has greatly improved, so that more patients can get ideal physical reports.

Kimberly Powell believes that genomics will become the mainstream of medicine. Through the blessing of the algorithm, we can clearly understand people's genetic appearance and characteristics, and we can also see the genetic characteristics of specific diseases, such as Alzheimer's disease. In addition, the use of Nvidia's artificial intelligence algorithm may accelerate the research and development of medical drugs. Through the new technology, fully understand the drug toxicity, shorten the research and development cycle, clinical trials can be carried out smoothly.

At present, Nvidia's artificial intelligence algorithm has promoted the continuous development of precision medicine. In September last year, Nvidia launched the NVIDIA Clara artificial Intelligence (AI) platform, which can be connected to the next generation of medical devices and become a tool for early detection, diagnosis and treatment of diseases. In the whole process, by covering data acquisition, data analysis and data integration, a complete closed loop is formed from DNA, biosensors, to cells, images, and electronic health records.

Medical devices are currently a $100 billion blue ocean industry, and Kimberly Powell, vice president of Nvidia, predicts that biomedicine will be one of the industries most closely integrated with AI in the future.

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