Beginning in 2016, the arguments of artificial intelligence threatening doctors are endless. In the beginning of 2017, several core journals, including Nature and the Journal of the American Medical Association, have published several "robot" doctors to defeat human doctors. Case.
Before discussing whether artificial intelligence can completely “unemploy†doctors, let us distinguish between “strong artificial intelligence†and “weak artificial intelligenceâ€.
Strong artificial intelligence is a general-purpose type of intelligence that can solve various problems at random in any scenario, and can deal with open-ended problems, such as political issues and economic issues, in complex systems. This kind of intelligence is self-aware and, like creatures, has the need for survival and security, so they can ask questions themselves.
In contrast, weak artificial intelligence can only solve a specific problem in a specific scenario and in a closed system. Weak artificial intelligence has no self-awareness and subjective initiative, and requires humans to input certain instructions to operate.
However, even John Rogers Hiller, who originally proposed the concept of "strong artificial intelligence", does not believe that strong artificial intelligence can be achieved.
Recently, at the Shanghai Round Table on the 19th Health Policy held by the China-Europe Health Management and Policy Center, Duan Tao, former director of the Shanghai First Maternal and Child Health Hospital, said that artificial intelligence may be an unexpected rise in public hospital reform. Strength, hospitals now" The most lacking are pathologists, imaging doctors, etc., but in the next three or five years, these doctors will not be lacking."
dermatology
"A recent sci-tech magazine in the United States has sent articles, and dermatologists have been defeated by artificial intelligence." Duan Tao mentioned at the meeting that "the dermatology has a diagnosis of artificial intelligence, and 90% of dermatologists in China may not need it." You took the picture and gave it a diagnosis level higher than that of more than 90% of Chinese dermatologists."
Duan Tao refers to the dermatology man-machine war published by Nature. Scientists first asked a "volume and neural network (CNN)" analysis to learn about 130,000 clinical pictures of skin diseases, covering 2023 skin diseases.
Twenty-one doctors were invited to conduct two contests with the robot for the diagnosis of skin cancer: the first to distinguish between keratinocyte carcinoma and benign seborrheic keratosis; the second to distinguish between malignant melanoma and benign nevi. As a result, the comprehensive sensitivity of artificial intelligence to correctly identify benign and malignant lesions reached 91%, defeating many dermatologists.
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