{"title":"医学中的人工智能研究","authors":"E. Levinthal","doi":"10.1145/1408800.1408903","DOIUrl":null,"url":null,"abstract":"Professor Edward Feigenbaum will open the panel with comments on the current status of the field. Short presentations of specific current research will be made by the panelists: (1) Professor C. Kulikowski of Rutgers describing work on a causal-associative network developed with an associated model of the therapies to serve as a basis of a consultation program in glaucoma; (2) Dr. P. P. Tsiang of University of Missouri and (3) Dr. A. Gevins, University of California Medical Center, discussing their respective papers \"Computer Analysis of Chest Radiographs\" and \"Heuristic Real Time Feature Extraction of the EEG\", abstracts of which appear elsewhere in the program booklet; (4) Dr. Bruce Buchanan, on applications of AI to structure elucidation based on gas chromatography/mass spectrometry data; (5) Dr. Edward Shortliffe, Stanford University, on an antimicrobial therapy consultation system utilizing a flexible representation of knowledge and (6) T. Rindfleisch describing SUMEX-AIM, a new nationally shared resource for application of AI to medicine.","PeriodicalId":204185,"journal":{"name":"ACM '74","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Artificial intelligence research in medicine\",\"authors\":\"E. Levinthal\",\"doi\":\"10.1145/1408800.1408903\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Professor Edward Feigenbaum will open the panel with comments on the current status of the field. Short presentations of specific current research will be made by the panelists: (1) Professor C. Kulikowski of Rutgers describing work on a causal-associative network developed with an associated model of the therapies to serve as a basis of a consultation program in glaucoma; (2) Dr. P. P. Tsiang of University of Missouri and (3) Dr. A. Gevins, University of California Medical Center, discussing their respective papers \\\"Computer Analysis of Chest Radiographs\\\" and \\\"Heuristic Real Time Feature Extraction of the EEG\\\", abstracts of which appear elsewhere in the program booklet; (4) Dr. Bruce Buchanan, on applications of AI to structure elucidation based on gas chromatography/mass spectrometry data; (5) Dr. Edward Shortliffe, Stanford University, on an antimicrobial therapy consultation system utilizing a flexible representation of knowledge and (6) T. Rindfleisch describing SUMEX-AIM, a new nationally shared resource for application of AI to medicine.\",\"PeriodicalId\":204185,\"journal\":{\"name\":\"ACM '74\",\"volume\":\"50 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACM '74\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1408800.1408903\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM '74","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1408800.1408903","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
爱德华·费根鲍姆教授将对该领域的现状发表评论,开启小组讨论。小组成员将对当前的具体研究进行简短的介绍:(1)罗格斯大学的C. Kulikowski教授描述了在青光眼咨询项目的基础上开发的因果关联网络与相关治疗模型的工作;(2)密苏里大学的p.p. jiang博士和(3)加州大学医学中心的A. Gevins博士,讨论他们各自的论文《胸部x线片的计算机分析》和《脑电图的启发式实时特征提取》,论文摘要见节选手册;(4) Bruce Buchanan博士,关于AI在基于气相色谱/质谱数据的结构解析中的应用;(5)斯坦福大学的Edward Shortliffe博士介绍了一种利用灵活知识表示的抗菌治疗咨询系统;(6)T. Rindfleisch描述了SUMEX-AIM,这是一种新的国家共享资源,用于将人工智能应用于医学。
Professor Edward Feigenbaum will open the panel with comments on the current status of the field. Short presentations of specific current research will be made by the panelists: (1) Professor C. Kulikowski of Rutgers describing work on a causal-associative network developed with an associated model of the therapies to serve as a basis of a consultation program in glaucoma; (2) Dr. P. P. Tsiang of University of Missouri and (3) Dr. A. Gevins, University of California Medical Center, discussing their respective papers "Computer Analysis of Chest Radiographs" and "Heuristic Real Time Feature Extraction of the EEG", abstracts of which appear elsewhere in the program booklet; (4) Dr. Bruce Buchanan, on applications of AI to structure elucidation based on gas chromatography/mass spectrometry data; (5) Dr. Edward Shortliffe, Stanford University, on an antimicrobial therapy consultation system utilizing a flexible representation of knowledge and (6) T. Rindfleisch describing SUMEX-AIM, a new nationally shared resource for application of AI to medicine.