AI combined with medical treatment: the first step of artificial intelligence landing?

The biggest advantage of artificial intelligence lies in the high efficiency of computing power, especially in data-intensive, knowledge-intensive, brain-intensive industries. Unlike the Internet, the transformation of artificial intelligence into the medical field is disruptive.

IBM's artificial intelligence Watson has recently prescribed cancer in just 10 seconds. At the same time as the public opinion boom, the “AI+Medical” was once again pushed to the climax. The Internet Medical In-depth Report released by Founder Securities recently shows that although security and smart investment are the hottest, AI may lead in the medical field.

Take over the "Internet +" helpless medical pain points

Key technologies such as image recognition, deep learning, and neural network have driven a new round of development of artificial intelligence.

According to the report, from the perspective of the Internet transformation of the medical industry , China's Internet medical development has gone through three stages: the information service stage, that is, the Internet transformation is the medical information flow, the connection between people and information; the consulting service stage, That is to say, the Internet is transforming the service flow of health consultation, realizing the connection between people and doctors; in the stage of diagnosis and treatment service, the Internet transforms the medical service flow and realizes the connection between people and medical institutions.

However, the model innovation brought by the Internet has not fundamentally improved the service capacity of the medical supply side, thus fundamentally solving the situation that medical resources (especially doctors) are in short supply.

At the same time, breakthroughs in key technologies such as image recognition, deep learning, and neural networks have led to a new round of development of artificial intelligence. The concept of "artificial intelligence + medical" came into being.

IBM将用人工智能布局未来医疗

Unlike the Internet, artificial intelligence is disruptive in the medical field.

The demand for artificial intelligence medical treatment is mainly based on several objective reality: on the one hand, the supply of high-quality medical resources is insufficient, the cost is high, the doctors have a long training period, the misdiagnosis rate is high, the disease spectrum changes rapidly, and the technology changes with each passing day; on the other hand, with the elderly population Increased intensification, chronic disease growth, increased emphasis on health, and increasing demand for medical services.

The core competence of artificial intelligence is actually the ability that humans already have, but the greatest advantage compared with humans is the high efficiency of computing power, especially in data-intensive, knowledge-intensive, brain-intensive industries.

In the medical field, IBM Watson can read 3,469 medical monographs, 248,000 papers, 69 treatment plans, 61,540 trial data, and 106,000 clinical reports in 17 seconds. Through massive medical knowledge, including more than 300 medical journals, more than 200 textbooks and nearly 10 million pages of text, IBM Watson quickly became an oncologist in a short period of time.

Alibaba Cloud Research Center and BCG's latest cooperation report pointed out that from the two dimensions of technological breakthrough and application value, the future artificial intelligence will appear in three stages: service function, technological breakthrough, and super intelligence. The data-based service intelligence phase will erupt in the next 3-5 years: artificial intelligence expands, integrates multiple vertical industry applications, and enriches practical scenarios. IDC Digital predicts that by 2020, medical data will reach 40 trillion GB, and about 80% of data is expected to be unstructured.

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