Artificial intelligence + new forms of medicine With the continuous improvement of computing power, the possibilities of artificial intelligence algorithms are being explored gradually. After “Deep Blue”, a chess master, artificial intelligence beat human champions one after another in intelligent games like Go and DOTA2. Current artificial intelligence is still weak artificial intelligence that can only achieve a specific task, but a deep understanding of the specific task greatly promotes social progress. Typical application scenario of medical artificial intelligence Typical application scenario of medical artificial intelligence Adjuvant treatment In addition to the use of medical imaging to assist physicians in diagnosis and treatment, “AI + Assisted Treatment” includes: A, Medical Big Data assisted diagnosis and treatment, including cognitive computing and ancillary medical solutions typified by IBM Waston for Oncology. B. Medical robots are robots that point to diagnosis and treatment. In terms of start-up companies and product distribution in China’s artificial intelligence medical field, “Artificial Intelligence + Medical” mainly concentrates on eight application scenarios. It mainly includes disease risk prediction, medical imaging, assisted diagnosis and treatment, drug discovery, health management, hospital management, assisted medical research platforms, virtual assistants and more. With the development of computer vision and gene sequencing technology, the number of companies under the disease risk prediction and medical imaging fields is the largest, the related products are relatively mature and the products exist in the form of immature software. The algorithm model is still in the training optimization stage and has not been completed on a large scale. Mainly applied to B-end hospital, medical examination center, pharmacy, pharmaceutical company, research institute, insurance company, internet medical etc. Business models are mainly conducted in the form of scientific research collaboration, technology introduction, model training, and acquisition of data and services. In terms of start-up companies and product distribution in China’s artificial intelligence medical field, “Artificial Intelligence + Medical” mainly concentrates on eight application scenarios. It mainly includes disease risk prediction, medical imaging, assisted diagnosis and treatment, drug discovery, health management, hospital management, assisted medical research platforms, virtual assistants and more. With the development of computer vision and gene sequencing technology, the number of companies under the disease risk prediction and medical imaging fields is the largest, the related products are relatively mature and the products exist in the form of immature software. The algorithm model is still in the training optimization stage and has not been completed on a large scale. Mainly applied to B-end hospital, medical examination center, pharmacy, pharmaceutical company, research institute, insurance company, internet medical etc. Business models are mainly conducted in the form of scientific research collaboration, technology introduction, model training, and acquisition of data and services. Medical health is one of China’s four largest industries that strongly supports artificial intelligence applications. In recent years, the state has also issued a number of policy documents to promote electronic, digital and artificial intelligence of hospital medical records. Different segments of medical health are defined, covering all application scenarios throughout the industrial chain. Products and services of artificial intelligence healthcare companies are relatively mature in the areas of medical imaging analysis and disease risk prediction, competition is becoming more intense, and they are entering the Red Sea battle hard. The problem of commercialization has plagued entrepreneurs at the same time that artificial intelligence treatment is widespread, Business models are still unclear and have not produced hematopoietic capabilities Currently, the industry is still in a general stage , Most products are in testing stage. Currently, AI Medical is faced with islands of medical data, poorly structured data, and uncoordinated data standards, which are training and optimization of algorithm models, delays in market education, and medical and artificial intelligence It has led to a shortage of complex human resources. As a special traditional industry, health care is a strong regulatory industry, and policy plays a crucial role. Artificial intelligence + medical care is a phenomenon that artificial intelligence technology strengthens the medical care and health industry, and artificial intelligence, which is the core technology of machine learning and data mining, penetrates the medical care industry. It brings cost savings and efficiency improvements in the healthcare and health industry, creates new medical new fields such as medical data services, machine learning services, and medical research and development services, broadens the boundaries of the medical field, and the medical and health related industries Reshaped the chain. .

Artificial intelligence + new forms of medicine With the continuous improvement of computing power, the possibilities of artificial intelligence algorithms are being explored gradually….

The construction of smart cities is essentially the combination of these technologies. 1. Definition of Internet of Things The Internet of Things (IOT) is a network that connects any item with the Internet through radio frequency identification (RFID), infrared sensors, global positioning system, laser scanner, gas sensors and other information sensing devices, and carries out information exchange and communication according to the agreement, so as to realize intelligent identification, location, tracking, monitoring and management. In short, the Internet of Things is the Internet of Things. The Internet of Things (IOT) is a network of communication between people and things, between things and things, and a perception technology of intelligent cities. In the field of integration of industrialization and industrialization, Internet of Things technology has been applied in product informatization, production and manufacturing, management, energy saving and emission reduction, safety production and other fields. In the field of e-government, Internet of Things (IOT) technology has been initially applied to the competent government departments such as public security, land, environmental protection, transportation, customs, customs, quality inspection, security supervision, forestry and so on. 2. Technical Architecture of Internet of Things The Internet of Things is mainly composed of perception layer, network layer and application layer. 1) The sensing layer consists of various sensors, including temperature and humidity sensors, two-dimensional code labels, RFID tags and reader, camera, infrared, GPS and other sensing terminals. The perception layer is the source of identifying objects and collecting information in the Internet of Things. 2) The network layer is composed of various networks, including the Internet, radio and television network, network management system and cloud computing platform. It is the center of the whole Internet of Things and is responsible for transmitting and processing the information acquired by the perception layer. 3) Application layer is the interface between Internet of Things and users. It combines with industry requirements to realize intelligent application of Internet of Things. 3. Key Technologies of Internet of Things There are four key technologies in the application of the Internet of Things: 1) Sensor technology, which is also the key technology in computer application. As we all know, up to now, most computers deal with digital signals. Since the computer came into being, sensors have been required to convert analog signals into digital signals, so that computers can process them. 2) RFID tag is also a kind of sensor technology. RFID technology is a combination of wireless radio frequency technology and embedded technology. RFID has broad application prospects in automatic identification and goods logistics management. 3) Embedded system technology is a complex technology which integrates computer hardware and software, sensor technology, integrated circuit technology and electronic application technology. After decades of evolution, intelligent terminal products featuring embedded systems can be seen everywhere; as small as MP3 around people, as large as Aerospace Satellite systems. Embedded systems are changing people’s lives and promoting the development of industrial production and national defense industry. If we use the Internet of Things as a simple analogy of the human body, sensors are equivalent to human eyes, nose, skin and other senses, the network is the nervous system used to transmit information, embedded system is the human brain, after receiving information to classify and process. This example vividly describes the position and role of sensors and embedded systems in the Internet of Things. 4) M2M: It transfers data from one terminal to another. It is a dialogue between machines. 4. Application of Internet of Things Technology in Smart City At present, the Internet of Things technology has been applied in product informatization, production and manufacturing, management, energy saving and emission reduction, safety production and other fields. It has been initially applied in public security, land, environmental protection, transportation, customs, customs, quality inspection, security supervision, forestry and other government departments, and achieved good results. 1) Product informationization: In the automobile, household appliances, construction machinery and ship industries, the application of Internet of Things technology has improved the level of product intelligence. 2) Application in the field of production and manufacturing: application in production line process detection, real-time parameter acquisition, production equipment and product monitoring management, etc. 3) Application in the field of business management: application in logistics management, production management, etc. 4) In energy saving and emission reduction applications: mainly in iron and steel, non-ferrous metals, electricity, chemical industry, textile, paper and other high energy consumption, high pollution industries. 5) Application in the field of safety production: mainly in coal, iron and steel, non-ferrous and other industries to ensure safe production of important technical means, the use of Internet of Things technology to mine underground man, machine, environment monitoring Cloud computing technology: 1. The definition of cloud computing technology: According to the definition of the National Institute of Standards and Technology (NIST), cloud computing is a mode of sharing pools that can access configurable computing resources (such as networks, servers, storage, applications and services) anytime, anywhere and on demand through the network. This pool can quickly configure and release capital through minimum cost management or service providers’trade unions. Source.

The construction of smart cities is essentially the combination of these technologies. 1. Definition of Internet of Things The Internet of Things (IOT) is…