Not long ago, baidu announced a major restructuring of the medical business department, adjusted and optimized the organizational structure of the medical business, concentrated advantageous resources and focused on the field of artificial intelligence. This move has aroused the attention of the industry. Any action of Baidu in the medical field will lead to various discussions. As we all know, there is not much to say here. Then, where is the coincidence point between artificial intelligence technology and medical industry? Can artificial intelligence at this stage have a significant impact on medical undertakings? Let’s simply analyze it.
Medical treatment as a special industry, due to the uniqueness and closeness of its own system, there will inevitably be some problems. As we all know, it is difficult and expensive to see a doctor, which has become the object of common complaints. People’s living standards have been gradually improved, and the demand for medical resources is also increasing. As a result, the contradiction between health service demand and medical and health resources has become increasingly prominent.
The concentration of medical resources and minor diseases also bring a great burden to the hospital. The function of a large hospital should be to treat critically ill and difficult patients, but it has treated a large number of common and frequently occurring patients, which not only makes it difficult and expensive to see a doctor, but also wastes a lot of valuable resources; The abnormal development of “supporting doctors with drugs” has brought unnecessary economic burden to patients’ treatment. Small problems often prescribe drugs for hundreds of thousands of yuan, which has long been commonplace. The hidden rules of kickbacks lead some doctors to consider not the best diagnosis and treatment scheme for patients, but the most expensive scheme.
The distribution of public medical resources among regions is uneven. For example, most of the third class hospitals are distributed in the provincial capital cities, and advanced medical devices and high-quality medical resources are also concentrated in these hospitals, which naturally leads to a large number of patients pouring into these hospitals, and the treatment effect is difficult to guarantee. From another point of view, there are some errors in the diagnosis of diseases by traditional medical means, and there are two eyes and one smear in the diagnosis and treatment of some difficult diseases.
It can be seen that medical treatment is a “historical legacy” problem, which is the case in China. There are similar problems in many developing countries and even developed countries. For artificial intelligence technology, its inherent advantages in the field of big data and computing speed may bring amazing progress to the medical industry. In the simplest test and analysis stage, now we have artificial intelligence equipment to operate this link. Although sample collection such as blood collection, stool collection and puncture still need to be carried out manually, the follow-up links can be done by artificial intelligence technology. The steps of sample classification, centrifugation, pushing, dyeing and dicing are much more efficient than human operation.
According to the forecast data of IDC, the amount of medical data will reach 40 trillion GB by 2020, and the speed of data generation and sharing will increase rapidly, of which more than 80% of the data are unstructured data. IDC believes that in the future, artificial intelligence technology will be widely used in the medical field, especially in subdivided medical scenes such as auxiliary diagnosis, drug research, medical imaging and genetic science. At present, “Watson” of IBM should be the world’s leading medical artificial intelligence system. It combines the data integration, analysis and judgment ability of artificial intelligence with the diagnosis and treatment experience of human doctors to provide auxiliary medical processing logic.
The era of “looking, hearing and asking” of traditional Chinese medicine has long gone. Today’s medical technology pursues more meticulous, rigorous and meticulous, which is exactly what artificial intelligence technology is good at. In terms of difficult and miscellaneous diseases, artificial intelligence technology can integrate global cases into a huge database, and key data can be retrieved and retrieved in a few milliseconds; The artificial intelligence system based on neural network, computer vision, deep learning and speech recognition can also carry out early warning and diagnosis of Alzheimer’s disease, schizophrenia and other diseases.
Winterlight’s machine learning software analyzes the speeches of Alzheimer’s patients and healthy people, finds the differences in speech speed, intonation and grammar from the corpus, and finds out the rules. Ordinary people use this software to test and know how high their risk of Alzheimer’s disease or other cognitive impairment is in the future. This technology can help people predict cognitive impairment such as depression, stroke, aphasia, autism and ADHD in advance, so as to prevent or receive treatment in advance.
The Borg artificial intelligence system of Boston biomedical company compares and analyzes the samples collected from cancer patients and healthy people, trying to find those key nodes that can “suit the remedy to the case” among the 14 trillion data nodes, and such a large number of data nodes can not be analyzed by human doctors. It can be seen that the work that is difficult to be completed by human doctors due to the large amount of data and rare cases is being discovered and solved by artificial intelligence technology. Although it still takes a long time for artificial intelligence to form a complete diagnosis and treatment ability, it has affected the working mode of the medical industry and made the work of new drug research and development and pathological diagnosis more efficient.
Compared with the high price of employing family doctors, artificial intelligence technology can customize a set of medical services suitable for each individual through people’s working environment, working hours, work and rest rules, dietary preferences, patient history and other details, including fitness, health care and so on. Get people’s data through smart bracelets, smart heart rate belts, smart underwear and other peripheral devices, upload it to the cloud server, and then formulate a set of medical service rules for reference through the system. Similar things have started some pilot projects in European and American countries, and it must be only a matter of time before they are fully launched.
Generally speaking, the opportunities of artificial intelligence in the medical field mainly have seven directions: first, provide clinical auxiliary diagnosis and other medical services, which are applied to early screening, diagnosis, rehabilitation, surgical risk assessment and other scenarios; The second is the informatization of medical institutions, which helps medical institutions improve their operation efficiency through data analysis; Third, medical image recognition is carried out to help doctors read the patient’s images faster and more accurately; Fourth, help medical institutions visualize big data and improve data value; Fifth, in the field of drug R & D, solve the problems of long drug R & D cycle and high cost; Sixth, health management services, including wearable devices, monitor users’ personal health data, predict and control disease risks.