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DPS--a computerised diagnostic problem solver.

P Bartos, F Gyárfas, M Popper

    Czechoslovak Medicine
    |January 1, 1982
    PubMed
    Summary

    This paper introduces the Diagnostic Problem Solver (DPS) system, a novel AI-driven tool for medical diagnosis. The DPS system views medical diagnosis as cognitive problem-solving, utilizing advanced artificial intelligence techniques.

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    Area of Science:

    • Medical Bionics
    • Artificial Intelligence
    • Cognitive Science

    Background:

    • The diagnostic process in medicine is complex and often relies on cognitive problem-solving skills.
    • Existing diagnostic tools may not fully capture the nuances of human reasoning in medical problem-solving.

    Purpose of the Study:

    • To describe the Diagnostic Problem Solver (DPS) system, a computerized approach to medical diagnosis.
    • To present the underlying philosophy and technical implementation of the DPS system.
    • To outline the system's program modules and their functionalities.

    Main Methods:

    • The DPS system is developed using principles of Artificial Intelligence.
    • Implementation leverages production systems and frame theory for knowledge representation and reasoning.
    • The system models the diagnostic process as a cognitive problem-solving task.

    Main Results:

    • A description of the DPS system, a computerized diagnostic problem solver, is provided.
    • The system's foundation in cognitive problem-solving philosophy is detailed.
    • Key program modules and their characteristics are presented.

    Conclusions:

    • The DPS system represents an innovative application of AI in medical diagnostics.
    • The cognitive problem-solving approach offers a new perspective on diagnostic systems.
    • Further development of the DPS system is underway at the Research Institute of Medical Bionics.

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