Doctors, especially those in leading positions, need to know the progress speed of artificial intelligence in the health field, so as to be ready to lead the health system to take necessary changes at any time. Key point: "artificial intelligence has been proved as effective as human beings in diagnosing various diseases, and in some cases, it is even more effective."
In predicting attempted suicide, recent research shows that AI is better than human beings. The current advantage of artificial intelligence is that it can learn and identify patterns that can be used to diagnose diseases from large data sets, making it directly compete with medical majors involved in diagnostic tests of pattern recognition, such as pathology and radiology. The current challenges faced by AI include legal responsibility and negligence attribution when errors occur, as well as moral issues related to patient selection.
Artificial intelligence systems can also develop or learn prejudices and those that need to be identified and mitigated. As doctors and health leaders, we need to start preparing our major in order to cooperate with AI, which may be replaced by AI and advanced robot systems in the future. It directly competes with medical majors involved in pattern recognition diagnostic tests, such as pathology and radiology. The current challenges faced by AI include legal responsibility and negligence attribution when errors occur, as well as moral issues related to patient selection.
Nowadays, the development of artificial intelligence to such a level is actually not based on the mastery of the working principle of the brain in medicine. At present, little is known about the working principle of the brain in medicine. So today's artificial intelligence is developed in a way different from the working principle of human brain, and the result can achieve the effect of human brain working.