Chen Zhencheng, Jiang Yong, Xu Mingyu, Wang Hongyan, Jiang Dazong
Institute of Biomedical Engineering, Xi'an Jiaotong University, Xi'an 710071.
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2002 Sep;19(3):505-9.
This paper has reviewed the development of artificial intelligence in medical practice and medical diagnostic expert systems, and has summarized the application of artificial neural network. It explains that a source of difficulty in medical diagnostic system is the co-existence of multiple diseases--the potentially inter-related diseases. However, the difficulty of image expert systems is inherent in high-level vision. And it increases the complexity of expert system in medical image. At last, the prospect for the development of artificial intelligence in medical image expert systems is made.
本文回顾了人工智能在医学实践和医学诊断专家系统中的发展,并总结了人工神经网络的应用。文中解释说,医学诊断系统的一个困难来源是多种疾病——潜在相关疾病的共存。然而,图像专家系统的困难在于高级视觉本身。这增加了医学图像专家系统的复杂性。最后,对医学图像专家系统中人工智能的发展前景进行了展望。