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Related Experiment Videos

Analysis of bone scintigram data using speech recognition reporting system--data analysis with speech recognition

H Ikehira1, T Matsumoto, T A Iinuma

  • 1National Institute of Radiological Sciences, Division of Clinical Research, Chiba, Japan.

Radiation Medicine
|January 1, 1990
PubMed
Summary
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Voice pattern recognition systems enhance bone scintigraphy analysis, enabling rapid data processing and improved insights into metastatic tumors and patient examinations. This technology streamlines complex data, aiding doctors in report analysis.

Area of Science:

  • Medical Imaging
  • Computer Science Applications in Medicine
  • Radiology Informatics

Background:

  • Bone scintigraphy reports were previously limited in analysis due to data complexity.
  • Efficient data management is crucial for understanding diagnostic trends.

Purpose of the Study:

  • To evaluate the effectiveness of a voice pattern recognition system for bone scintigraphy report analysis.
  • To assess the system's impact on data processing speed and analytical capabilities.

Main Methods:

  • Storing 580 bone scintigram reports using a voice pattern recognition system on an ACOS-650 computer.
  • Analyzing stored data to examine bone scintigraphy practices within the institute.

Main Results:

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  • The voice pattern recognition system enabled rapid analysis of all stored bone scintigraphy data.
  • Previously restricted complex data became analyzable, improving overall data accessibility.
  • The system facilitated analysis of metastatic tumors and patient examination numbers.

    • Conclusions:

    • The voice pattern recognition system significantly improves the efficiency and scope of bone scintigraphy data analysis.
    • This technology aids in understanding hospital-wide examinations and supports logical report analysis by doctors.