In recent years, the “blowout” of artificial intelligence has penetrated into all aspects of clothing, food, housing and transportation, as well as the medical industry. “Artificial intelligence + medical” has entered the fast lane. 2017 is also known as the “first year of medical artificial intelligence development” in the industry, especially in the fields of ultrasonic film reading, image analysis, etc., which are easy to establish standards, robots have excellent work efficiency and accuracy.

In September 2017, the artificial intelligence “Watson”, known as “the strongest medical brain”, officially entered the oncology department of Nanjing First Hospital, which is also the first “medical artificial intelligence” in Jiangsu Province. As long as the doctor inputs the patient’s tumor type, stage, metastasis and other information into Watson’s tumor system, “Watson” can give professional recommendations, medication and treatment suggestions based on the “big data” of more than 300 medical journals, 250 tumor monographs and 15 million papers. This “thinking” time only takes about 10 seconds.

In fact, “Watson” has two advantages: one is the ability to learn. Modern medicine is changing with each passing day. 24 hours a day is not enough for an oncologist to read the latest documents in the world, but “Watson” can; The second is to assist decision-making. In each “Watson” analysis sheet, the number of cases, survival rate and adverse reaction rate of the specific scheme will be given to help doctors weigh the efficacy and risk.

Discussion on the future development trend of AI medical industry

Using artificial intelligence and precision medicine to treat cancer. Artificial intelligence also plays an important role in promoting the development of precision medicine. As early as 2011, the National Academy of Sciences, the National Institutes of health, the National Academy of engineering and the National Science Council jointly launched the “towards precision medicine” initiative. With the development of big data and artificial intelligence, the development of precision medicine has also obtained the corresponding technical foundation. Artificial intelligence has made great progress in the accuracy of cancer diagnosis. With the help of big data and artificial intelligence, doctors can detect different lesions of different cancer patients, find personalized medication, and then use artificial intelligence to complete the dressing change and dispensing work, greatly reducing the cost of treatment.

Intelligent diagnosis and treatment is the application of artificial intelligence technology in disease diagnosis and treatment. The computer can help doctors to make statistics of pathology and physical examination reports. Through big data and deep mining technology, the medical data of patients can be analyzed and mined, and the clinical variables and indicators of patients can be automatically identified. By “learning” the relevant professional knowledge, the computer simulates the doctor’s thinking and diagnostic reasoning, so as to give a reliable diagnosis and treatment plan. Intelligent diagnosis and treatment is the most important and core application scenario of artificial intelligence in the medical field.

At present, the research on the application of robots in the medical field mainly focuses on surgical robots, rehabilitation robots, nursing robots and service robots. Domestic medical robot field has also experienced rapid development and entered the market application. Medical robots, which originally existed only in science fiction and science fiction movies, are gradually infiltrating our lives and becoming a new venture and investment hotspot. I believe that in the near future, the guardian robot will be developed and become a member of our life.

Intelligent devices based on artificial intelligence can monitor some basic physical characteristics of people, such as diet, body health index, sleep and so on. Simple assessment of physical fitness, provide personalized health management program, timely identify the risk of disease, remind users to pay attention to their health and safety. At present, the application of artificial intelligence in health management mainly includes risk identification, virtual nurses, mental health, online consultation, health intervention and health management based on precision medicine.

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