Confirm! Ali sells medical devices

the Internet giants into the field of medical equipment, where will the focus be?NO.1
Internet companies entered the medical deviceMay 13, according to enterprise inspection data show that Ali Cloud Computing Co., Ltd. business scope has changed, the addition of the second category of medical device sales.Data show that Ali Cloud Computing Co. , Ltd. was established in April 2008, the registered capital of 1 billion yuan, the legal representative is Alibaba Cloud Intelligence President Zhang Jianfeng, the company's business scope includes operating telecommunications business, sales of second-class medical equipment.On April 14th, Alibaba established Nantong Runrun Commercial Co., Ltd., with a registered capital of 10 million yuan, and its business scope includes the sale of medical devices in the first category and the sale of medical devices in the second category. The who whoed shareholder is Shanghai Box Ponies Network Technology Co., Ltd.In May last year, Alibaba's box horse fresh business scope, also changed from the previous two types of medical devices to three types of medical devices. You can see that Ali's march into the medical device field has been moving forward.NO.2
There are bottlenecks in medical innovation to be addressedMany in the industry believe that AI development may be a major advantage for Internet companies in the field of medical devices, and many Internet companies are also the most in-cut in the field of artificial intelligence.So where is the current integration of artificial intelligence in the medical field?Seber Blue Devices visited Lu Chenxuan, founder and CEO of Medical Associates. He noted that the current application in the medical field is still in its early stages.Lu Chenxuan pointed out that the current ushered in a period of hardware equipment changes, we were the earliest to do AI is more difficult, because the quality of data is very mixed.“ In the case of CT, if we hypothesis that future device generation is at the highest resolution, the entire AI model will be trained more efficiently, the entire training will be more accurate, and many problems will occur on the source data. Ascan see, medical equipment with artificial intelligence software, for primary hospitals is a very big advantage, can alleviate the efficiency of medical diagnosis, can see the lesions directly.Lu Chenxuan pointed out that in addition to the uneven image constraints on development, AI in the medical and other bottlenecks, first of all, the data source is not high-definition, high-quality, clean.In addition, it is also very difficult for doctors to label. Because AI is equivalent to training a student, but in the process of training this student, you let him do the test paper must be a high-level teacher out of the test paper, must be the third-grade hospital out of the paper.But those doctors who help you make these marks, in fact, the cost of the whole time, the financial cost is very high. And labeling time can not be very careful to mark, very serious to mark, this is the most difficult.At the same time, there are too few people in AI's predicament. There were a lot of AI companies in the last few years, and now there are fewer and fewer, because you're short of talent when you get into really deep water, so that's what limits development.
(Cypress Blue)