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Related Experiment Videos

Improved imaging diagnosis by sequentially combined confidence judgments.

P B Curtis1, W R Ferrell, B J Hillman

  • 1Department of Systems and Industrial Engineering, University of Arizona, Tucson.

Investigative Radiology
|May 1, 1988
PubMed
Summary

Radiologists can improve diagnostic accuracy through consultation. A new computerized method combines individual confidence judgments into group probabilities, enhancing diagnostic efficacy and reducing costs compared to individual interpretations.

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Area of Science:

  • Medical Imaging
  • Radiology
  • Artificial Intelligence in Medicine

Background:

  • Radiologist consultation enhances diagnostic accuracy but faces practical challenges in timing and logistics.
  • Current methods for radiologist consultation are often interactive and time-consuming.

Purpose of the Study:

  • To develop and evaluate a noninteractive computerized method for radiologist consultation.
  • To improve diagnostic efficacy and cost-effectiveness in interpreting excretory urograms.

Main Methods:

  • Individual confidence judgments from radiologists were converted into diagnostic probabilities.
  • Probabilities were sequentially combined using computer simulation until a predefined group confidence level was reached.
  • Empirical methods were used to define appropriate stopping rules for the consultation process.

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Main Results:

  • The computerized consultation model demonstrated improved diagnostic efficacy.
  • Sequential interpretation of probabilities proved more cost-effective than individual readings.
  • The model addresses logistical difficulties associated with traditional consultation.

Conclusions:

  • Computerized noninteractive consultation using confidence judgments is a viable alternative to traditional methods.
  • This approach enhances diagnostic accuracy and offers a more cost-effective solution for radiological interpretations.
  • The model provides a framework for optimizing group decision-making in diagnostic radiology.