Artificial intelligence (AI) should be one of the most popular words in recent years. From alphago, which successively defeated Li Shishi and Ke Jie, to the intelligent speakers launched by Amazon, JD and Xiaomi, and to the driverless cars developed by Uber, Google and Baidu, we can feel that AI has come around us.
With the development of global artificial intelligence, the market has unprecedented investment and expectation in artificial intelligence. Real data show that the world has entered the research competition of artificial intelligence. In 2016, global enterprises invested $26 billion to $39 billion in artificial intelligence, of which $20 billion to $30 billion was invested by technology giants, swallowing the main share, and the rest was invested by start-ups of $6 billion to $9 billion.
It has become one of the important tasks for enterprises in various industries to correctly understand the current application ability, development status and the distance between artificial intelligence and market expectations. Driven by explosive data accumulation, new algorithms based on neural network model and more powerful and lower cost computing power, the development of artificial intelligence has broken through the prediction of its application effect in the commercial field. The application scenario of artificial intelligence technology is gradually clear in various industries and begins to bring the actual commercial value of cost reduction and gain. In terms of application direction, industry application scenarios with good data base such as finance, medical treatment, automobile and retail are relatively mature at present.
Medical artificial intelligence has sprung up
In many application fields, the emergence of AI + medical has attracted much attention, and the direction of medical treatment plus artificial intelligence has become the market focus. The rise of medical artificial intelligence is related to the serious shortage and unbalanced distribution of medical resources. China has a long period of training medical talents, high cost and shortage of high-quality doctor resources. Not only is there a shortage of doctors in China, but there will be a gap of 60000 to 90000 physicians in the United States in the next decade. Similar problems have been exposed in aging Switzerland and Japan. Solving the shortage of medical resources will become the fundamental motivation for artificial intelligence to penetrate into medical treatment. In the medical field, AI algorithms have made breakthroughs in the development of new drugs, the provision of auxiliary diagnosis and treatment, cancer detection and so on. Although they can not be completely replaced, AI + AI has been able to help doctors and patients in many aspects.
The great role of artificial intelligence in medical field
Artificial intelligence will play a role in liberating the doctor labor force, fundamentally improving the medical productivity, improving the service capacity of the medical supply side, and solving the medical dilemma of short supply. There are rich application fields of medical treatment combined with artificial intelligence. Intelligent medical treatment based on artificial intelligence mainly has the following five development directions:
Intelligent medical robot mainly refers to the robot used in surgery, functional rehabilitation and auxiliary nursing. In December 2015, Google parent company alphabet and Johnson & Johnson jointly established verb surgical to develop a new generation of assisted surgery robots. Google has made rapid progress in subdivided fields such as kidney and eye diseases. At the same time, alphabet has a number of biotechnology and medical companies, which will aggregate to form a scale effect in the future. As an old medical device company, Johnson & Johnson will receive technical support from verb surgical and Google, including machine learning technology and powerful image processing technology.
2、 Intelligent drug research and development
At present, it has developed to the virtual drug screening stage, which simulates the drug screening process on the computer, predicts the possible activity of compounds, effectively screens compounds that may become drugs, and greatly reduces the cost of drug development.
Perhaps the most famous deep learning model for drug development is IBM’s Watson robot. IBM signed an agreement with Pfizer in December 2016 to assist Pfizer in the research and development of immuno oncology drugs. In addition, IMB also has cooperation agreements with several pharmaceutical companies. IBM’s Watson robot can quickly analyze a large number of text data and test conjectures using a large number of laboratory data, clinical reports and scientific publications to find potential drugs. As a leader in the field, with the gradual maturity of artificial intelligence technology, IBM Watson began to release its hands and feet in 2016, focus on tumor, make breakthroughs in nine medical fields such as chronic disease management, precision medicine and in vitro testing, and gradually realize the value of artificial intelligence as a new tool.
3、 Intelligent diagnosis and treatment
Intelligent diagnosis and treatment integrates knowledge atlas, natural language processing, cognitive technology, automatic reasoning, machine learning, information retrieval and other technologies, and gives diagnosis and treatment judgment through hypothesis assignment and large-scale evidence collection, analysis and evaluation. Baidu established the baidu medical brain project in 2016. Through the collection and analysis of massive medical data and professional literature, baidu carried out artificial intelligent product design, simulated doctor consultation, multiple rounds of communication with users, repeated verification, and finally gave suggestions; At the same time, collect and sort out the patient’s symptom description in the process, and assist in completing the consultation.
4、 Intelligent image recognition
Intelligent image recognition refers to the use of artificial intelligence technology to identify and analyze medical images, help doctors locate diseases, analyze disease conditions and assist in diagnosis. Tencent cut into the field of medical services early in the registration and payment links through wechat, and actively explored in the field of artificial intelligence. Tencent released its first artificial intelligence medical imaging product, called “image seeking”, and carried out various medical AI projects with different domestic medical institutions, including early esophageal cancer screening system, pulmonary nodule detection system, auxiliary diagnosis and treatment system, etc. at present, it is in the experimental stage.
5、 Intelligent health management
That is, the application of artificial intelligence technology to the specific scenario of health management. At present, it mainly focuses on risk identification, virtual nurses, mental health, online consultation, health intervention and health management based on precision medicine.
In fact, intelligent diagnosis and medical imaging are two relatively mature fields in the field of medical artificial intelligence. The application of technology giants in the field of medical artificial intelligence basically focuses on the two mainstream applications of intelligent diagnosis and medical image recognition. However, the five development directions of smart medicine will also be cross involved, and multi field integrated R & D will be carried out.
The latest machine learning project developed by Microsoft, named Hanover, helps doctors predict the most effective drugs for cancer patients through in-depth learning and understanding of professional medical papers. Another project is the application in the field of medical radiation, the analysis of tumor CT scans of cancer patients by artificial intelligence. Similar to Google, Microsoft is not limited to the medical branch in the field of artificial intelligence, but also involved in speech translation, knowledge map and other fields.
Alibaba has strongly entered the field of medical AI through et medical brain. Alibaba cloud claims that the self-developed artificial intelligence et “can play the role of doctor assistant in the fields of patient virtual assistant, medical imaging, precision medicine, efficacy mining, new drug research and development, health management and so on”. The medical system AI “doctor you” developed by Ali health includes clinical medical research and diagnosis platform, medical auxiliary detection engine, physician ability training system, etc. It is reported that the accuracy of correctly identifying pulmonary nodules is more than 90%.
With the gradual deepening of artificial intelligence technology, more and more cutting-edge technology companies have launched the exploration of the application of artificial intelligence technology in the medical field.
Future development trend of medical AI
The transformation of the medical field by AI + is subversive. It is not only a technological innovation, but also a change in the productivity of the medical industry, which will bring a huge incremental market and unlimited market space. Foreign media predicted the future trend of medical artificial intelligence. There will be great prospects in the fields of disease prediction, disease prevention, rehabilitation medicine, slowing down aging, health and enhancing doctors’ skills.
At this stage, artificial intelligence is to help doctors rather than replace doctors. With the continuous development of science and technology, doctors’ senses such as vision and touch have been greatly strengthened and extended. For example, the development of Endoscopy Technology (including gastrointestinal endoscopy, laparoscopy, neuroendoscopy, etc.) allows doctors to see small areas that cannot be seen or seen with the naked eye, while robot technology makes the operation more stable and accurate. The progress of artificial intelligence will add a new engine to the doctor’s brain. Artificial intelligence technology can further optimize the medical industry chain and make the medical industry move towards higher efficiency and higher level. It is more worthy to look forward to in the future.