• DocumentCode
    277463
  • Title

    IMPLANTOR-an intelligent tutoring system for orthopaedic repair

  • Author

    Ferreira, Diva P. ; Wilson, John R.

  • Author_Institution
    Dept. of Manuf. Eng. & Oper. Manage., Nottingham Univ., UK
  • fYear
    1992
  • fDate
    33770
  • Firstpage
    42675
  • Lastpage
    42678
  • Abstract
    The research reported is centred on the development of an intelligent tutoring system called IMPLANTOR (intelligent medical planning techniques for orthopaedic repair). IMPLANTOR has been designed to assist novice orthopaedic surgeons practice and develop their skills in decision making and management processes. The application domain is focused on the methods of treatment for orthopaedic repair, giving special attention to internal fixation. IMPLANTOR provides an experiential learning environment through a computer-based simulation, using a combination of artificial intelligence methods and computer-aided design CAD techniques. IMPLANTOR is structured as a syllabus, presenting case-studies of progressively increasing complexity to be solved by the learner. The system critiques acceptable decisions by indicating positive and negative aspects as well as potential risks. Unacceptable solutions are refuted with an analysis of the reasons for that. Some of the difficulties for knowledge elicitation for IMPLANTOR are described
  • Keywords
    CAD; computer aided instruction; decision support systems; knowledge acquisition; knowledge based systems; medical computing; teaching; CAD; IMPLANTOR; acceptable decisions; artificial intelligence methods; case-studies; computer-aided design; computer-based simulation; decision making; experiential learning environment; intelligent medical planning techniques; intelligent tutoring system; internal fixation; knowledge elicitation; management processes; novice orthopaedic surgeons; orthopaedic repair; syllabus;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Intelligent Decision Support Systems and Medicine, IEE Colloquium on
  • Conference_Location
    London
  • Type

    conf

  • Filename
    168560