Literature DB >> 10172851

The expert surgical assistant. An intelligent virtual environment with multimodal input.

M Billinghurst1, J Savage, P Oppenheimer, C Edmond.   

Abstract

Virtual Reality has made computer interfaces more intuitive but not more intelligent. This paper shows how an expert system can be coupled with multimodal input in a virtual environment to provide an intelligent simulation tool or surgical assistant. This is accomplished in three steps. First, voice and gestural input is interpreted and represented in a common semantic form. Second, a rule-based expert system is used to infer context and user actions from this semantic representation. Finally, the inferred user actions are matched against steps in a surgical procedure to monitor the user's progress and provide automatic feedback. In addition, the system can respond immediately to multimodal commands for navigational assistance and/or identification of critical anatomical structures. To show how these methods are used we present a prototype sinus surgery interface. The approach described here may easily be extended to a wide variety of medical and non-medical training applications by making simple changes to the expert system database and virtual environment models. Successful implementation of an expert system in both simulated and real surgery has enormous potential for the surgeon both in training and clinical practice.

Mesh:

Year:  1996        PMID: 10172851

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  3 in total

Review 1.  Training and simulation in otolaryngology.

Authors:  Gregory J Wiet; Don Stredney; Dinah Wan
Journal:  Otolaryngol Clin North Am       Date:  2011-12       Impact factor: 3.346

2.  Development of an "Alert Framework" Based on the Practices in the Medical Front.

Authors:  Takuya Sakata; Kenji Araki; Tomoyoshi Yamazaki; Koichi Kawano; Minoru Maeda; Muneo Kushima; Sanae Araki
Journal:  J Med Syst       Date:  2018-05-09       Impact factor: 4.460

Review 3.  Applications and Challenges of Implementing Artificial Intelligence in Medical Education: Integrative Review.

Authors:  Kai Siang Chan; Nabil Zary
Journal:  JMIR Med Educ       Date:  2019-06-15
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.