The explosion of information in modern society has also contributed to the transformation of the medical industry . Technology such as cloud computing, artificial intelligence, big data, and the Internet is focused on building smart healthcare , or it will change the status quo of complex interests and make the traditional medical industry change its face.
Not long ago, Baidu announced a major restructuring of the medical division, restructuring and optimizing the medical business structure, concentrating the superior resources, and focusing the medical business in the field of artificial intelligence (AI), which triggered the industry. s concern. On the one hand, the industry is sensitive to any action of Baidu in the medical field. On the other hand, where is the fit between artificial intelligence technology and medical business? Can artificial intelligence at this stage have a major impact on the medical industry?
On April 14th, at the academic conference held by the China Computer Society Youth Computer Technology Forum (CCF YOCSEF), a number of experts conducted the theme of “Artificial Intelligence Subverts Traditional Medicine? – Smart Medicine in the Age of Big Dataâ€. Discussion and answer.
Artificial intelligence has become the only way for medical innovation
With the development of artificial intelligence, big data, cloud computing technology and the widening of application fields, the development and application of artificial intelligence in the medical field has been highly concerned, and the development of smart medical technology has become a major trend in the automation era. In fact, the explosion of information in modern society has also contributed to the transformation of the medical industry. Technology such as cloud computing, artificial intelligence, big data, and the Internet is focused on building smart healthcare, or it will change the status quo of complex interests and make the traditional medical industry change its face.
Artificial intelligence allows doctors to copy
In the current Chinese medical market, the state has invested heavily, but the contradiction in the allocation of medical resources is still outstanding. According to public data, hospitals with high-quality medical resources account for only 0.1% of the total medical care of the Health Planning Commission.
"The main medical resources in China are mainly concentrated in the top three hospitals in big cities. The top three hospitals are far ahead of other medical institutions in terms of the number of experts, medical revenue, high-performance equipment, scientific research results, etc." Bai Shijia Technology CDO Wei Hong pointed out This has caused the patients to be concentrated in the top three hospitals. The key departments of some large hospitals are hard to find on the 1st, which makes it difficult to see a doctor and expensive to see a doctor. The doctors have a large workload, insufficient beds and low patient satisfaction. A series of problems such as fierce conflicts between doctors and patients.
On the other hand, doctors in other medical institutions have high idleness, limited opportunities for business promotion, and a small number of visits, resulting in a waste of medical resources.
"One of the main purposes of the establishment of a clinical medical diagnosis and decision-making platform is to improve the safety and quality of local medical care, reduce medical errors, and increase the patient experience." Wei Hong said.
“Doctors spend a lot of time responding to common, repetitive problems such as surgery costs, how to make an appointment, how to take medicine, etc.†said Yan Jun, a researcher at Microsoft Research Asia. “If these common questions are answered, save. A lot of energy for the doctor."
However, the establishment of a professional domain knowledge base and automatic question and answer based on natural language understanding face many technical challenges. “The first thing to do is to improve the match between the question and the standard answer.†It turns out that the question of the real patient's question is very different from the standard question of editing. It is difficult to find the corresponding answer by simply searching through keywords.
"In order to build a good knowledge base, all questions must be categorized and mapped to different vectors from the answers found in the literature, and then matched by calculation." Yan Jun said. This is also the current investment project of Microsoft Research Asia in the field of artificial intelligence + medical.
In China, the trend of population aging and chronic disease growth has driven the market's greater demand for artificial intelligence. Therefore, artificial intelligence has become the only way for medical innovation - to enable productized artificial intelligence to empower, so that the ability of excellent doctors can be replicated.
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