Patel Vimla L, Shortliffe Edward H, Stefanelli Mario, Szolovits Peter, Berthold Michael R, Bellazzi Riccardo, Abu-Hanna Ameen
Department of Biomedical Informatics, Arizona State University, ABC1, 425 North Fifth Street, Phoenix, AZ 85004, USA.
Artif Intell Med. 2009 May;46(1):5-17. doi: 10.1016/j.artmed.2008.07.017. Epub 2008 Sep 13.
This paper is based on a panel discussion held at the Artificial Intelligence in Medicine Europe (AIME) conference in Amsterdam, The Netherlands, in July 2007. It had been more than 15 years since Edward Shortliffe gave a talk at AIME in which he characterized artificial intelligence (AI) in medicine as being in its "adolescence" (Shortliffe EH. The adolescence of AI in medicine: will the field come of age in the '90s? Artificial Intelligence in Medicine 1993;5:93-106). In this article, the discussants reflect on medical AI research during the subsequent years and characterize the maturity and influence that has been achieved to date. Participants focus on their personal areas of expertise, ranging from clinical decision-making, reasoning under uncertainty, and knowledge representation to systems integration, translational bioinformatics, and cognitive issues in both the modeling of expertise and the creation of acceptable systems.
本文基于2007年7月在荷兰阿姆斯特丹举行的欧洲医学人工智能（AIME）会议上的一场小组讨论。自爱德华·肖特利夫在AIME上发表演讲以来，已经过去了15年多，他在那次演讲中将医学中的人工智能（AI）描述为处于“青春期”（肖特利夫EH。医学人工智能的青春期：该领域会在90年代走向成熟吗？《医学人工智能》1993年；5：93 - 106）。在本文中，讨论者回顾了随后几年的医学人工智能研究，并描述了迄今为止所取得的成熟度和影响力。参与者专注于他们各自的专业领域，范围从临床决策、不确定性推理、知识表示到系统集成、转化生物信息学，以及专业知识建模和可接受系统创建中的认知问题。
