Main bottlenecks and solutions of artificial intelligence decision system in burn field

Abstract

Artificial intelligence decision-making faces 3 bottlenecks before it goes into burn treatment: big data, deep learning and medical ethics. How to maintain data stabiliy in long-term acquisition and select scientific methods for analysis and judgement. Which kinds of material should be studied and analyzed by deeping learning. How to overcome the long-term difference between artificial intelligence machine and doctor training. Under the situation of rapid development of big data and artificial intelligence, the ethical shortcomings are increasingly reflected. The main way to solve the 3 problems is: the initiative to build a data model platform together with data scientists should be taken, and the basic circuit diagram of data adoption should be developed. Meanwhile, it is urgent for the national committee of burns to formulate the ethical rules of big data and artificial intelligence. Key words: Burns; Artificial intelligence; Data interpretation, statistical; Problem solving