Ear Science Institute Australia and the Ear Sciences Centre, School of Surgery and Pathology, the University of Western Australia, Perth, Western Australia.
Otolaryngol Head Neck Surg. 2007 Apr;136(4 Suppl):S21-6. doi: 10.1016/j.otohns.2007.01.028.
We reviewed the progress of the implementation of expert diagnostic systems in the field of otology.
We conducted a review of the literature at a research institute.
The utilization of expert diagnostic systems in otology is very limited. Previous applications focused primarily upon the diagnosis of vertiginous disorders with the use of deterministic algorithms and, more recently, with adaptive algorithms such as neural networks.
Expert systems provide greater diagnostic accuracy to physicians across a wide range of medical specialties. The success of such a system depends upon the strength of its reasoning algorithm, the validity of its knowledge base, and its ease of use.
There have been no attempts to develop an adaptive expert system for the full range of otological conditions. Such a tool may be of great use to physicians as a diagnostic aid and educational resource, particularly for those located in isolated sites.
我们回顾了在耳科学领域实施专家诊断系统的进展。
我们在一个研究所进行了文献回顾。
专家诊断系统在耳科学中的应用非常有限。以前的应用主要集中在使用确定性算法诊断眩晕障碍，最近则使用神经网络等自适应算法。
专家系统为广泛的医学专业的医生提供了更高的诊断准确性。该系统的成功取决于其推理算法的强度、知识库的有效性和易用性。
目前还没有尝试开发一种适用于所有耳科疾病的自适应专家系统。对于那些位于偏远地区的医生来说，这种工具可能是一个非常有用的诊断辅助和教育资源。
