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Related Experiment Videos

Automatic speech recognition--can it improve the man-machine interface in medical expert systems?

J A Landau1, K H Norwich, S J Evans

  • 1Institute of Biomedical Engineering, University of Toronto, Ontario, Canada.

International Journal of Bio-Medical Computing
|July 1, 1989
PubMed
Summary

Automatic speech recognition can improve physician adoption of computer-aided medical diagnosis tools. Research explores natural language interfaces for expert systems like DIAG, enhancing diagnostic capabilities.

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Area of Science:

  • Medical Informatics
  • Artificial Intelligence
  • Speech Technology

Background:

  • Computer-aided medical diagnosis (CAMD) tools have existed for 20 years but face limited physician acceptance.
  • Physician adoption of CAMD is crucial for its successful integration into clinical practice.
  • Automatic Speech Recognition (ASR) is proposed as a key technology to enhance user interaction and acceptance.

Purpose of the Study:

  • To explore the potential of Automatic Speech Recognition (ASR) to increase physician acceptance of computer-aided medical diagnosis (CAMD).
  • To describe a prototype natural language interface for expert systems, specifically for dermatologic diagnosis.
  • To present a system for freestyle input of body part information.

Main Methods:

  • Survey of the current state-of-the-art in automatic speech recognition (ASR).

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  • Discussion of existing challenges and limitations of ASR technology.
  • Development of a prototype system for natural language input of anatomical information.

    • Main Results:

    • A prototype system was developed to accept body part input in a freestyle format.
    • This system serves as a foundation for a natural language interface integrated with ASR.
    • The potential for ASR to bridge the gap between complex diagnostic systems and physician usability was highlighted.

    Conclusions:

    • Automatic Speech Recognition (ASR) offers a promising pathway to enhance physician interaction with computer-aided medical diagnosis (CAMD) systems.
    • Natural language interfaces, powered by ASR, can simplify data input for expert systems like DIAG.
    • Further development in ASR and natural language processing is essential for widespread adoption of advanced medical diagnostic technologies.