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Related Experiment Videos

Exploring subjective vs. objective issues in the validation of computer-based critiquing advice.

M A Rothschild1, H A Swett, P R Fisher

  • 1Mount Sinai Medical Center, New York, NY 10029.

Computer Methods and Programs in Biomedicine
|January 1, 1990
PubMed
Summary

Evaluating medical expert systems like DxCON, which critiques radiologic workups for obstructive jaundice, presents unique challenges. This study details DxCON

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Area of Science:

  • Medical Informatics
  • Artificial Intelligence in Medicine
  • Radiology

Background:

  • Evaluating computer-based medical expert systems is crucial for development.
  • Critiquing systems pose unique validation challenges due to their prose-based feedback.
  • Subjective user interaction significantly influences system evaluation.

Purpose of the Study:

  • To describe the DxCON expert system, designed for critiquing the radiologic workup of obstructive jaundice.
  • To present the experimental validation of the DxCON system.
  • To explore the impact of subjective factors on the validation of explanatory medical expert systems.

Main Methods:

  • DxCON, an expert system, generates prose critiques for obstructive jaundice radiologic workups.

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  • Validation involved three independent judges interacting with the system's advice.
  • Judges were allowed flexible, unstructured reactions to the system's output.

    • Main Results:

    • The study details the design and implementation of DxCON's validation process.
    • It highlights the challenges in evaluating expert systems with subjective, prose-based outputs.
    • The validation process accommodated flexible, unstructured judge feedback.

    Conclusions:

    • Subjective issues significantly impact the design and execution of medical expert system validation.
    • Flexible, unstructured evaluation methods are necessary for systems producing explanatory prose.
    • This case study offers insights into validating complex medical AI systems.