“Doctors are at the heart of making big data a reality. Without professional doctors, all data is worthless, which means that doctors are still the core of the treatment, especially in cancer treatment areas such as cancer. The development of IBM Watson is for doctors. Partners, clinical assistance, and alternative physicians are impossible.†Michael Jordan, a professor at the University of California at Berkeley and an artificial intelligence expert, publicly expressed concerns about the application of AI technology in medical diagnosis at the Tencent “Cloud + Future†Summit. Wu Gang, chairman of the Pharmaceutical Group and Baiyang Smart Technology, gave this judgment.
Michael Jordan said at Tencent's "Cloud + Future" summit: "Our so-called artificial intelligence seems to be smart, but it is not. For example, in the medical industry, we let the machine do a lot of medical diagnosis, which is unlikely. Many people will experience dose problems because of this poor diagnosis. In some settings, the diagnosis of AI will also be affected. The consequences of this effect may result in the death of the patient."
IBM gamble
In the field of AI health applications, no company in the world is as gambled as IBM.
When people are still lamenting how artificial intelligence works, IBM's Watson has been working for the MD Anderson Cancer Centre for a while. Through the cooperation with the center's doctors, professional knowledge and clinical experience are classified and collected in the rare clinical diagnosis and treatment of tumors, and these data are applied to individualized treatment, patient participation, imaging diagnosis, new drug development, etc. Aspects.
For the Chinese market, IBM is also very interested - not only because in China's capital market, investors are more "generous" about AI artificial intelligence. For them, China also has the world's most abundant cancer data and The actual need for treatment.
The “China Cancer Statistics 2015†completed jointly by Academician He Jie, deputy director of the National Cancer Center, and Chen Wanqing, director of the National Cancer Registry Center, showed that China diagnosed 4.3 million cancers each year and 2.8 million died of cancer. Oncologists need smart tools to give Accurate decision support, and patients need precise medical solutions. The average five-year survival rate for cancer patients in China is 37%, which is far below 67% in the United States and 72% in Japan.
As an example, WatsonforGenomics (Watson Gene Solutions), which officially entered the Chinese market in the near future, can increase the average monthly data of more than 10,000 scientific papers and 100 new clinical data. It can be systematically processed in just a few minutes. The generation of a genomic variation provides an annotated document. Cognitive calculations can accomplish large-scale workloads that conventional humans cannot operate.
"In the field of oncology treatment, the U.S. Food and Drug Administration currently approves more than 80 targeted therapies for tumors. However, there are tens of millions of possibilities between these mutations and drugs, and manual calculations cannot accomplish such a large workload. No one can guarantee 100% accuracy. Through cognitive computing, we can analyze all the listed bulk drugs through the patient's genetic mutation and seek precise medical solutions.†Fu Gang said that this month, he was Baiyang Intelligent Technology has spent a large sum of money to win exclusive distribution rights for WatsonforGenomics in China. Three months ago, Watsonfor Oncology, the exclusive distribution of Baiyang Intelligent Technology, is expected to cover 150 tertiary general hospitals by the end of the year.
The core of artificial intelligence is the "algorithm"
In fact, in most Chinese doctors and experts in AI medical fields, artificial intelligence is most likely to play the doctor's “assistant†role, not the protagonist of medical decision-making.
"At present, artificial intelligence is a very basic level on a global scale, and some simple applications are made in terms of hardware." Fu said further.
Take IBM Watson as an example. Before that, at the University of North Carolina School of Medicine, doctors prepared 1000 cases of cancer patients for Watson, hoping to evaluate Watson's academic performance. As a result, 99% of the treatment programs offered by Waston matched the recommendations of oncologists. Not only that, Watson also offered many supplementary suggestions, of which 30% were unthinkable to doctors and related to the latest clinical research.
“As modern doctors are inseparable from auxiliary stethoscopes and sphygmomanometers, more and more clinical experts are beginning to realize that AI doctors may have more experience than general practitioners and provide comprehensive medical advice, but this is still the same as stethoscopes and imaging equipment. For doctors, AI is currently only a tool for assisting diagnosis.†Sun Chen, a doctor at a top-three hospital in Hefei, revealed to reporters, “We use its algorithms and databases to make decision support, but people who make decisions should still be able to A doctor who judges the actual situation."
In fact, the birth of new things is always filled with voices of support and questioning. Doctors who have had experience in AI medical use have stated that since medical artificial intelligence is itself positioned to assist the role of doctors, it is sometimes not possible to target diseases. The situation in real life is adjusted, "such as the patient's actual family income, psychological conditions, etc. The condition of cancer treatment is very complicated. It is not the best treatment plan that the patient can accept. In many cases, it also requires the doctor to follow the patient. The actual situation to make adjustments, and to comfort and convince patients, which is currently difficult for medical artificial intelligence."
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