Zong Yuming: How long does it take for medical robots to replace doctors?
Since the birth of computer technology, humans have been exploring the use of computer program systems to treat people. The most active technology is mainly the application of intelligent computer program system - "expert system", based on the knowledge and experience provided by one or more experts in the medical field, to make inferences and judgments, to simulate the decision process of human experts, in order to solve those who need human experts Handling complex issues. However, because the rules are difficult to write, medicine is full of uncertainty. Under the guidance of the "expert system", there are not many "practical procedures" that are relatively successful, and they can only deal with very narrow professional problems, such as helping doctors to stay in hospital. The MYCIN system in which blood-infected patients are diagnosed and treated with antibiotics. Nowadays, the more mature development is the supercomputer Watson developed by IBM. Its idea is "machine learning", which is a powerful AI (Artificial Intelligence) platform. On May 12, according to foreign media reports, IBM announced on Wednesday that it has reached a three-year partnership with Alder Hey Children's Hospital, which will use its Watson supercomputer to analyze and improve patients. Medical care level. How will artificial intelligence improve the accuracy of diagnosis and treatment? Zong Yiming, deputy dean of the Second Hospital of Jiaxing City, said in an interview with HC3i China Digital Medical Network that the most important point of application of artificial intelligence is standardization, proceduralization and scientificization, when one day differentiated problems are solved. Then, the function of artificial intelligence will be unimaginable. Zong Yuming, Vice Dean of Jiaxing Second Hospital What technologies does “Watson†use? Since 2007, more than 20 researchers at IBM have spent four years developing an artificial intelligence system named after IBM founder Thomas J. Watson. Watson has the ability to understand natural language and answer questions accurately. Watson's hardware is a cluster of 90 IBM Power 750 servers with a total of 2,880 Power7 processors and 16TB of memory. On the software side, Watson is written in Java and C++ and uses the Apache Hadoop framework for distributed computing, as well as the Apache UIMA (Unstructured Information Management Architecture) framework, IBM DeepQA software, and the SUSE Linux Enterprise Server 11 operating system. Watson stores millions of documents, including dictionaries, encyclopedias, news, literature, and other reference materials that build knowledge bases. Watson's hardware configuration allows it to process 500GB of data per second, which is equivalent to reading 1 million books per second. After getting a question, Watson performs a series of calculations, including grammatical semantic analysis, searching for various knowledge bases, extracting alternative answers, searching for alternative answer evidence, calculating and synthesizing the strength of evidence, and so on. Watson's main technical principle is to comprehensively judge and learn various possible answers by searching a lot of knowledge sources and using many small algorithms from multiple angles. One of the key steps is to evaluate the reliability of the alternative answers and to evaluate and quantify the reliability of the answers from multiple dimensions such as keywords, geographic locations, and types. In 2011, in view of the fact that “Watson†can understand human language, it can be quickly given by asking the patient's complaint, medical history, artificial intelligence technology, natural language processing and analysis techniques, and information and data collected from various channels. Medical treatment reference. The R&D staff provided one patient with a virtual eye disease to "Watson", with blurred vision, family history of arthritis, living in Connecticut, and pregnancy... "Watson" presented different diagnostic results, including uveitis, white Say's disease, Lyme arthritis, etc. According to estimates, Watson's diagnostic accuracy rate reached 73%. Innovative jet embedded nylon technology maximizes the efficiency of sample collection from patients. Nylon adheres vertically and evenly to the surface of the swab tip, improving the efficiency of cell and liquid sample collection and release. Increased analytical sensitivity, no specimen residue, and accelerated specimen processing. Flocked Swab,Collect swabs from specimens with flocked tips,Medical sampling swab oral nylon swab flocking,Acts in the clinical diagnosis Jiangsu iiLO Biotechnology Co., Ltd. , https://www.sjiilobiotech.com