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Using a symbiotic man/machine approach to evaluating visual clinical research data.

J M Long1, E A Irani, D W Hunter

  • 1University of Minnesota, Minneapolis 55455.

Journal of Medical Systems
|October 1, 1988
PubMed
Summary
This summary is machine-generated.

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This study introduces ESCA, an expert system for analyzing coronary angiograms, demonstrating that visual medical tasks can be automated. The symbiotic human-machine approach yields consistent, cost-effective results comparable to expert panels.

Area of Science:

  • Medical Imaging Analysis
  • Artificial Intelligence in Medicine
  • Expert Systems

Background:

  • Expert systems are often overlooked for medical applications with visual components.
  • Evaluating serial coronary angiograms presents significant visual challenges.

Purpose of the Study:

  • To demonstrate the feasibility of expert systems in visually complex medical domains.
  • To develop a partially automated system for evaluating serial coronary angiograms.
  • To improve consistency and cost-effectiveness in angiogram analysis.

Main Methods:

  • Development of ESCA, an expert system for coronary angiogram evaluation.
  • Implementation of a symbiotic human-machine approach.
  • Integration of technologists' visual skills with the expert system's conceptual imitation.

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Main Results:

  • The ESCA system achieved good agreement with a panel of medical experts.
  • The partially automated system proved more consistent and cost-effective than manual methods.
  • ESCA demonstrated a higher agreement rate with experts than inter-expert agreement.

Conclusions:

  • Expert systems are viable for visually intensive medical diagnostic tasks.
  • A symbiotic approach enhances the capabilities of medical expert systems.
  • ESCA offers a promising alternative for consistent and efficient coronary angiogram analysis.