Where will the focus be in the field of internet giants entering the medical field?

May 15 field hearing Yixie Internet giant incoming medical network, the focus will be where?May 13, according to the companies look up data show that Ali cloud computing Coscope changes, the new Class II medical devices salesdata show that Ali cloud computing, Ltdwas established in April 2008 with registered capital of 1 billion yuan, the legal representative of President Ali intelligent cloud Zhang Jianfeng, including the operation of telecommunications business operations, sales of second-class medical equipmentApril 14, Alibaba set up a new business in Nantong Han Yun Co., Ltd., the registered capital of 10 million yuan, including the operation of the first class of medical equipment sales, Class II medical devices salesA wholly-owned shareholder is Shanghai Network Technology Co., Pony boxMay last year, Alibaba's box of fresh horse business scope, also changed from the previous types of medical equipment for the Class III medical devicesAli can see the pace to enter the field of medical devices has been constantly movingMany industry insiders believe AI development or will be a big advantage instruments in the field of Internet companies into the medical office, many Internet companies are the most incision in the field of artificial intelligencegame Parker Blue Medical Devices access to intelligence-founder and CEO Lu Chen ChongHe pointed out that currently used in the medical field still in its early stagesLu Chen Chong pointed out that the period has just ushered in the hardware change, we first do when AI is more difficult, because the data quality is very mixed"to CT, for example, if our hypothetical future devices produced are the highest quality resolution, the entire AI model training more efficient, the accuracy of the entire training will be higher, a lot of problems at the source data"
can see, medical equipment coupled with artificial intelligence software, grassroots is very big advantage, can ease the efficiency of medical diagnosis, you can see lesions directly Lu Chen Chong pointed out that, in addition to restricting the development of jagged image, AI there are other bottlenecks in health care, it is the data source is not the first high-definition, high-quality, clean Further, the doctor is marked great difficulty Because the AI ​​is equivalent to train a student, but among the student training process, you let him do the papers must be a high level of teacher out of the papers, it must be out of the top three hospitals in large volumes but his doctors to help you make those marks, in fact, the entire cost of time, financial costs are very high And when can not be marked very hard to mark, very serious to standard, this is the most difficult Meanwhile, when AI is a little trouble AI do a lot of companies a few years ago, now less and less, because the real time into the deep end of your talent is scarce, so this is the development restrictions.