Within the scope of the AI field in the medical industry, there is a part of the big data and algorithmic ability to build more accurate analysis models, powerful and complex computing power coupled with visualization to show that it is certain to be able to replace the traditional medical.
Then there is the more sophisticated intelligent manufacturing equipment, reflecting the infrastructure of AI, which is also the traditional medical unsurpassed equipment.
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After reading it, you can see how unreliable modern medical diagnosis is in terms of probability theory. What you can also see is how hard it really is to be reliable. And that's just the theoretical requirements, not including the practical difficulties.
It's comforting to know that modern medicine has still greatly improved human survival rates.
Just because humans perform poorly in this area of diagnosis doesn't mean that machines are well adapted; it still depends on what the root cause of the diagnostic error is.
Modern Western medicine likes to use lab indicators to treat illnesses, which is a good way to get rid of the uncertainty of data in the diagnostic process and allow more quantification of symptoms. But that's still low enough that experienced older specialists are still valuable.
In the future, as more symptoms are quantified and more indicators are replaced by daily monitoring by wearable devices, human body characterization diagnostics, may become a carry-along ready to launch the function of diagnosis into a trend monitoring, and go to the hospital to see a doctor may not be needed at all.
Even if you go, tens of thousands of indicators of continuous monthly trends is not a job that humans can handle. Artificial diagnosis may be completely out of the stage of history.
Office doctors, pharmacists, radiologists, even surgeons, many types of jobs will be replaced almost entirely. If the cost of technology and equipment is low enough, small hospitals may disappear.
No more doctors, nurses, and pharmacists
Before answering the title question, I ask you to think about this. Would you allow a medical robot with artificial intelligence (AI) to examine, diagnose and prescribe for you or your family member if you or your family member got sick? Would you accept a robot as your primary surgeon? And if you did, what else do human clinicians do?
In the healthcare industry, we've been fascinated by the possibilities of AI being able to understand, reason, and learn, i.e., help us make better use of information. If you look purely at individual areas such as clinical diagnosis, AI can already replace doctors. For example, the application of IBM Watson has matured, and it has achieved breakthroughs in nine areas, including chronic disease management, precision medicine, and in vitro testing, centered on tumor diagnosis. Also for example, Invisalign orthodontic technology can already partially replace the work of senior orthodontists. Artificial intelligence will be used in all aspects of medicine, at present, artificial intelligence in the early detection of disease, diagnosis, decision-making, treatment, end-of-life care, scientific research, training and so on, there are many specific examples of application.
Of course, one would also make the bold inference that AI could completely replace doctors. In particular, artificial intelligence and robotics have been the subject of science fiction, such as "Super Marines" in the medical robot "Great White", it is best to be able to sense, calculate and record your daily health status, at any time to provide you with health protection, so that you can achieve and maintain your physical or mental "optimal" state or early detection of the disease. so that you can achieve and maintain your "optimal" physical or mental state or detect abnormalities at an early stage. Frankly speaking, something like "Great White" is not just for science fiction. Artificial intelligence and robotics for support, diagnosis and treatment are already in use in homes, workplaces and clinical settings around the world. In the next 10 years, we won't be talking about whether doctors are replaced by AI (the lack of doctors is a problem in all countries), but rather how AI and robotics can be used to complement and enhance current healthcare services, which determines whether we can provide more responsive healthcare with improved outcomes, and at the same time, enable people to better manage their day-to-day health needs.
Artificial intelligence cannot completely replace real people in healthcare, but can only be an adjunct to people, or rather, AI cannot work independently of people.
Overall, artificial intelligence is incomparable to human beings in terms of precision, speed, and durability. All of these, however, have to be controlled by humans and cannot be done completely autonomously.
In terms of emotion and friendliness, machines are incomparable to humans. For example, if the machine to do surgery, if the patient's anesthesia to do the effect is not good, the machine on the patient's pain can not be perceived, the degree of surgery can not be a good grasp of the degree of lightness, to minimize the patient's pain is not as good as the people do.
Even if the machine "learns" and stores a huge amount of data, information, but these data are not beyond the premise of human intelligence, in other words, these things are people do, the machine can use these things to do unlimited combinations, but in the medical aspect of the combination can not be arbitrary, must be strictly screened out! useful things.
I feel that AI only plays an auxiliary role , AI can be based on the patient's medical records and stored relevant information, in accordance with the provisions of the general patient diagnosis, so rigorous work procedures can also pick out what is wrong, to eliminate the occurrence of medical malpractice.
And some precision surgery can also use artificial intelligence, because the machine is more calm will not be emotionally dominated, and the programmed steps are more accurate, dangerous surgery to implement a safer.
Of course, the above medical applications of AI still need people as the main body.
When everyone's veins are open, the hospital doctor's medical treatment becomes evidence of modern stupidity, and its history of stupidity in recent decades becomes a memory and a joke in people's minds
When it comes to AI
, people have been exploring its utility
hoping to play a role in more fields
Today, we're going to look at some of these with Bojangles.
AI+Medical
What kind of collision will it be
Policy boost, rapid development of the industry
In recent years, the state has issued a number of national policies and special policies on medical artificial intelligence, which fully reflects the importance of the AI+Medical field at the national level.In April 2018, the State Council's General Office issued a study on the "promotion of "AI+Medical"
The State Health Committee and other ministries have been studying and drafted the Opinions on Promoting the Development of "Internet+Medical Health". The Opinions released multiple policy benefits: recognizing the legitimacy of "Internet hospitals"; supporting prescription outflow; and promoting "Internet +" medical insurance settlement services.
In addition, the medical electronic information "right" research work is being carried out; "Opinions" clearly, by 2020, the second level of hospitals generally provide time booking diagnosis and treatment, intelligent guide triage, waiting for a reminder, test and examination results query, between the consultation settlement, mobile payment and other online services.
Driven by national policies and the needs of various fields of healthcare, the market size of China's medical artificial intelligence industry has been rapidly expanding, with a compound growth rate of 31.98% from 2017-2019, which shows the huge potential of the industry. According to statistics from the Chinese Institute of Electronics, the market size of the medical artificial intelligence industry will reach 7.53 billion yuan by 2021.
AI four major medical application scenarios
AI + medical imaging
Medical imaging is the qualitative and quantitative analysis of the patient's imaging data, which is usually an important diagnostic basis that clinicians need to refer to. The medical industry is a large amount of data, and currently relies on doctors' personal experience in processing and judging the data and information of patients' various laboratory tests and images. This requires AI to quickly and efficiently process large amounts of data, analyze the differences in data that cannot be detected by humans, and this difference may determine the judgment of the disease; and secondly, through machine learning, AI can convert expert experience into algorithmic models, enabling low-cost replication of expert experience.
AI+Assisted Diagnosis
Assisted Diagnosis function is to support doctors' clinical diagnosis and treatment decisions. Thanks to the accumulation of human clinical diagnosis and treatment knowledge base in the early days, the integration of artificial intelligence makes the doctor's diagnosis and treatment level greatly improved, not only improves the early detection rate of diseases, but also reduces the clinical leakage and misdiagnosis rate; at present, the main extended application scenarios are guided robot, electronic medical record and virtual assistant.
AI+Drug R&D
Drug R&D refers to the whole process from the discovery of a drug, to the preclinical and clinical research stage, to the approval of the market. Artificial Intelligence can virtually screen drug candidate compounds by virtue of its excellent algorithmic advantages, thus gradually reducing the development cost of new drugs; in addition, because it also has deep learning capabilities such as language processing and image recognition, it can also continuously optimize the analysis of the potential correlation between drugs and diseases through big data.
AI+ Health Management
The concept of health management was first born in the U.S., and began with health insurance organizations carrying out systematic health management for customers with certain potentially high-risk diseases to control or delay the occurrence and development of the disease for the purpose of lowering the probability of the organization's own insurance and reducing the corresponding payout expenses; at present, the main application scenarios focus on risk identification, virtual nurses, mobile healthcare, wearable devices, and other healthcare services. Currently, the main application scenarios focus on risk identification, virtual nurses, mobile medical care, wearable devices and so on.
The pain point of insufficient medical resources in China can be greatly improved after the combination of artificial intelligence and medical treatment. Artificial intelligence, with its excellent algorithms and big data analysis, can continuously penetrate the data resource layer and technical application layer of the relevant service platform. In addition to this, it can also reduce the overall medical cost and realize the application in medical imaging, auxiliary diagnosis and treatment, health management, new drug development, disease prediction, virtual assistant, process management, research platform, etc., to improve the overall medical level in China.
Checks and Chinese medicine can be realized remotely online diagnosis, robot targeting more targeted, medicine released through the robot on the body damage is almost zero, chronic diseases are basically robots to alleviate the pain. Surgery does not require too many nurses and doctors, a person to command, a person to make decisions, the remaining person to operate the machine arm, if the development in the future, the direct image simulation of the human body, the arm connected to the operating rod, surgery
China's health care big data has entered the initial favorable stage, in the policy, the capital is expected to usher in a rapid development of a good trend.
The application of big data in the field of health care, not only for the traditional health care has brought about profound changes, but also fundamentally changed the medical habits of our country, from the original "treatment"-based to "prevention"-based.
The development of medical big data can not only reduce the individual to the country's medical costs, but also effectively improve the efficiency and quality of health care services, expanding the supply of resources. In the feedback of many favorable, further stimulate the formation of new business and economic growth point.
For the development of medical big data, the attitude of our government is very clear. Since 2015, a number of supportive policies have been launched in just three years. 2016, the State Council issued the "Guidelines on Promoting and Standardizing the Development of Healthcare Big Data Applications", which not only clearly puts forward medical big data as a basic strategy for national development, but also explicitly standardizes the direction of the integration of medical big data and the *** enjoyment of the open construction, and clarifies its role in the fields of healthcare, pharmaceuticals, public*** health, and medical insurance. **health, and health insurance and other practical applications. The national strategy to promote the construction of medical institutions, regional informatization and medical big data applications, prompting the medical big data industry is accelerating the formation.
Not only that, in 2016 issued the "" Health China 2030 "" planning program ", but also clearly pointed out the future development of medical big data market, it is reported that by 2020, the total scale of health services to reach 8 trillion, by 2030 to reach 16 trillion, the industry prospect is extremely broad.
Nowadays, medical big data is an important basic strategic resource of the country, and with the continuous promotion of "Health China 2030" and the construction of medical big data centers in various pilot provinces and cities of the country, the medical big data industry will continue to standardize the development in the future.