AI+ medical development from the use of landing to the construction of a new generation of intelligent medical systems

Medical AI is difficult to use, but it still has to be added to its eyes.

At a certain level, the blessing of new technologies such as AI and robots has brought about a beneficial improvement in hospital clinical research level, medical service level, efficiency, quality, etc., and the hospital has not adopted the principle. But the truth is that doctors in many hospitals today don't believe in AI technology.

First of all, in terms of power consumption, robustness, generalization, error rate, number of learning samples, and interpretability, there is a big gap between the recognition system based on deep learning and the human brain. This is the biggest technical difficulty for AI in the medical industry .

In addition, the application of AI+ medical technology is based on big data first, but medical data is a historical record. The system trained by these data is difficult to evolve future products, and the current AI medical system has less reasoning and emergency capabilities. This has further led to the medical staff's difficulty in trusting the AI ​​medical system.

The existence of a series of problems has caused a lot of difficulties for the medical AI, but this does not prevent the relevant people from still optimistic about the medical AI field. Ouyang Chenxi, director of cardiovascular surgery at Beijing Fuwai Hospital, analyzed that medical AI conducts in-depth learning based on big data. Because the data that the hospital can provide is not comprehensive, the system cannot meet the needs of machine learning, which also leads to the present. The system trained by medical AI has a situation in which the judgment is not objective. However, if the investment institution can first invest in medical data collection, this will not only win the first place in the medical AI data entry field, but also the data collection in the current medical environment will be carried out in the auxiliary medical work. The hospital acceptance is relatively high. High, overall it is worth looking forward to.

In addition, the distribution of medical resources in China is extremely uneven. On the one hand, several of the top three hospitals in China are close to or even leading the world's top medical standards in all aspects, but the level of primary medical care is very weak. For most citizens, it is difficult to see a doctor. The problem of expensive medical treatment is still widespread. In order to improve the overall medical level of our country, it is unwise to achieve the goal only by unilaterally improving the quality of primary medical personnel through training. Artificial intelligence as a good alternative, if it can achieve the short-term copy of the medical level of the top three hospitals to the grassroots level, is of great significance to improve the overall medical level of our country.

When it comes to the specific medical AI application, the leaders of the National Rehabilitation Aids Center, the Beijing Biomedical Engineering High-tech Center, and the Ali Health Group Big Data Center are optimistic about intelligent rehabilitation equipment, AI general practitioner assistants, and intelligent Internet hospitals. And the combination of telemedicine and AI. At the capital level, a number of investment institutions represented by Softbank Capital also expressed optimism about the development of medical AI.

AI reconstructs the relationship between doctors and patients, and needs to establish a new generation of intelligent medical system

With the development of technologies such as cloud computing, big data, artificial intelligence and the Internet of Things, the medical and health industry has ushered in a new development opportunity. Using new technologies to calculate big data on health and disease, realize the dynamic allocation of medical services and resources, control the efficacy and cost of technology in the development of new drugs, early screening of artificial intelligence of diseases, and participation in the treatment of precision minimally invasive medical robots. This series of medical situation changes have drawn a new picture for the future development of the medical and health industry. But on the other hand, this change is also re-establishing the relationship between hospitals, doctors, patients and medicines, and devices. It also brings new challenges to traditional medical health concepts, models, tools and regulations. The establishment of a new medical system has become A problem that has to be considered.

For a long time, medical personnel have provided services to patients through medical equipment . In the process, as medical equipment technology has been continuously improved and changed, the way medical staff have changed their services to patients, but patients, medical staff and medical equipment The affiliation between the people has never changed. However, with the emergence of intelligent technologies such as artificial intelligence, medical devices with intelligent capabilities have begun to participate in the process of medical decision-making, and have the ability to influence medical personnel. In addition, the relationship between patients and medical devices has also changed, intelligent The involvement of technology has made the new doctor-patient relationship more complicated.

Zhang Yu, academician of the Chinese Academy of Sciences and dean of the Institute of Artificial Intelligence of Tsinghua University, discussed the current situation of the IBM Waston cognitive computing system and the current artificial intelligence technology. He believes that from the technical point of view, artificial intelligence has broken through the development of deep learning technology. In the past, the expert system model of manual data input has been able to continuously improve judgment through self-learning, which has created favorable conditions for the new intelligent medical system. In addition to technology, Academician Zhang Wei also proposed that the creation of a new generation of intelligent medical system is a systematic project. In addition to technology, it also requires personnel from various departments such as the government, hospitals, and doctors to participate in the setting.

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