According to the news, Microsoft has developed a machine learning project, Hanover, that can "digest" all the papers published each year.
Currently, Hanover is working at the Knight Cancer Institute at the Oregon Health Sciences University, based on data from automated analytical research papers, as well as clinical trials, diagnostic imaging reports, and electronic medical records to find effective treatment for acute myeloid leukemia. Drugs, predict the effectiveness of drugs, and develop personalized treatment options for patients.
In fact, in the depth field of AI+ medical treatment (diagnostic treatment), Google and IBM have already made a few steps ahead of Microsoft. Among them, IBM has gradually opened up its own market. As of the past month, 21 Chinese hospitals have introduced IBM's cognitive technology to assist in the diagnosis and treatment of cancer. With the entry of technology giant Microsoft, we can understand that AI+ medical care is gradually gaining attention from the industry.
.jpg)
AI+ Medical at the time of progress
With the development of artificial intelligence, the gradually mature AI technology is gradually shifting to “AI+â€. As an important part of life structure, medical care has naturally become a concern. When it comes to the specific application of current AI+ medical care, it mainly focuses on robots and machine learning.
In the deployment of the medical field, the robot is mainly operated by surgery and nursing, and the surgical robot "Da Vinci" is typical. With flexible joints, versatile robotic arms and high-resolution 3D image processing equipment, Da Vinci Robot has assisted doctors in performing multiple surgeries. Just recently, it also helped doctors successfully perform minimally invasive surgery for a baby who is only 20 months old and has a congenital kidney malformation.
As for machine learning, in addition to being unable to perform surgery, it can almost be called a “all-round doctorâ€, from the diagnosis to the treatment plan. For example, the Watson Oncology system developed by IBM can help doctors analyze clinical data, develop personalized treatment plans for patients, and SimSensei, a machine learning tool developed by the University of Southern California, which can help doctors diagnose depression and the like. a lot of.
In addition, many AI technologies such as smart wear, computer vision, and voice recognition are being introduced into the medical field. Based on this, can we guess that AI's next "blue ocean" is smart medical?
.jpg)
YT-60
YT-60
Shenzhen Sunshine Technology Co.,Ltd , https://www.szyatwin.com