With the development of artificial intelligence, the increasingly mature AI technology is gradually changing to “AI+”. As an important part of life structure, medical treatment naturally becomes a focus. When it comes to the specific application of AI+ medical treatment, it mainly focuses on robot and machine learning.
Giiso Information, founded in 2013, is a leading technology provider in the field of “artificial intelligence + information” in China, with top technologies in big data mining, intelligent semantics, knowledge mapping and other fields. At the same time, its research and development products include editing robots, writing robots and other artificial intelligence products! With its strong technical strength, the company has received angel round investment at the beginning of its establishment, and received pre-A round investment of $5 million from GSR Venture Capital in August 2015.
According to sources, Microsoft has developed Hanover, a machine learning project that can “digest” all the papers published each year.
Hanover is currently being used at Oregon Health and Science University’s Knight Cancer Institute to automate the analysis of data from research papers, clinical trials, diagnostic imaging reports, and electronic medical records to find effective drugs for acute myeloid leukemia and predict their effectiveness. And develop personalized treatment plans for patients.
In fact, Google and IBM are already a few steps ahead of Microsoft in the deep field of AI+ medical (diagnosis and treatment). Last month, for example, 21 Chinese hospitals introduced IBM’s cognitive technology to help diagnose and treat cancer. With the entry of tech giant Microsoft, we can see that AI+ healthcare is getting more and more attention in the industry.
AI+ medical in progress
With the development of artificial intelligence, the increasingly mature AI technology is gradually changing to “AI+”. As an important part of life structure, medical treatment naturally becomes a focus. When it comes to the specific application of AI+ medical treatment, it mainly focuses on robot and machine learning.
In the deployment of the medical field, robots are mainly surgical and nursing, and surgical robots are among them
“Da Vinci” is a typical representative.
With flexible joints, multi-functional robotic arms and high-resolution THREE-DIMENSIONAL image processing equipment, Da Vinci robots have assisted doctors in many surgeries. Just recently, it helped doctors perform a successful minimally invasive surgery on a 20-month-old baby with a congenital kidney abnormality.
As for machine learning, apart from not being able to perform surgery, it can almost be called a “doctor of all trades”, grasping everything from diagnosis to treatment.
IBM’s Watson Oncology, which helps doctors analyze clinical data and customize treatment plans for patients, and SimSensei, a machine learning tool developed at the University of Southern California, which helps doctors diagnose depression, and so on.
In addition, a number of AI technologies, such as smart wearables, computer vision and voice recognition, are being introduced into the medical field. Based on this, can we guess that the next “blue ocean” of AI is intelligent healthcare?
Giiso information, founded in 2013, is the first domestic high-tech enterprise focusing on the research and development of intelligent information processing technology and the development and operation of core software for writing robots. At the beginning of its establishment, the company received angel round investment, and in August 2015, GSR Venture Capital received $5 million pre-A round of investment.
Intelligent healthcare is the next blue ocean for AI
There are many possibilities for “AI+”, but why do you think intelligent healthcare is the next blue ocean for AI? It is mainly based on two factors:
The first is the giant into the board and investors look towards.
Including Microsoft, there are now four tech giants entering smart healthcare, with the remaining three being Google, IBM and Apple. As these “industry bellwethers” join in, even if the project is unpopular, the industry’s followers will look at it and do something about it.
And, depending on brand awareness, the general public outside of the industry will also be attracted to the project, which will then generate a wide range of discussions, which will also be a force for the industry to do their best in a particular field.
In addition, CB Insights recently reorganized a map of AI startups in the medical field, counting 92 active startups around the world.
According to statistics, in just four years, the number of financing deals for AI medical companies increased from 10 in 2011 to 60 in 2015. Based on these data, we can see that profit-conscious investors are turning their attention to smart healthcare, which also shows that “AI+ healthcare” is promising.
The second is the gradual improvement of basic technology and facilities.
For example, Microsoft Hanover uses machine learning to predict the effectiveness of drugs and make personalized treatment plans for patients. Before making predictions and plans, Hanover needs to “read” a lot of data and then conduct big data analysis to get the final results.
For human beings, the collection and analysis of a large amount of data is very time consuming, but with the help of cloud storage and cloud computing, no matter how much data there is, it only takes a minute to improve the diagnosis efficiency fundamentally.
As the two most basic services of “cloud”, the performance of “cloud storage and cloud computing” has been developed quite mature, and sharing service has built a platform between hospitals, doctors and patients to make patients’ diagnosis more comprehensive through data sharing.
In addition, with the gradual improvement of voice recognition, image recognition and other technologies, medical accessory hardware facilities such as smart wristbands that collect relevant data and smart cars that can plan the optimal driving route in real time are also becoming mature (landing), thus promoting the maturity of the whole intelligent medical industry chain.
When the industrial chain is mature, it means that this field can be developed. Coupled with the importance of the medical industry and the advanced AI technology, intelligent medical care will become a key “AI+” field.
conclusion
In the field of intelligent medical treatment, Microsoft, Google and other technology giants have been involved, and many investors are optimistic, the coverage is relatively comprehensive, the overall environment shows a positive trend. However, from the current situation, intelligent medical treatment is still in the embryonic stage.
In fact, the reason why the current intelligent medical treatment only reveals the tip of the iceberg is still the immature project. Although Google, Microsoft and other companies have announced smart medical projects and found relevant partners to test them, the public and investors have not seen the results, but smart medical care is not enough to attract their attention, they will only be around as a “spectator”.
However, now that the project has been announced, I believe the results are not far away. Moreover, compared with driverless cars, which are subject to both technical and legal restrictions, intelligent medical treatment is obviously easier to achieve “landing”, and has the conditions to become the next AI “blue ocean”.