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Expert systems for medical applications.

J G Holman1, M J Cookson

  • 1Hill Centre, London Hospital Medical College, London.

Journal of Medical Engineering & Technology
|July 1, 1987
PubMed
Summary
This summary is machine-generated.

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Expert systems, or intelligent knowledge-based systems (IKBS), offer decision support for medical diagnosis and treatment planning. While promising, few IKBS have achieved widespread clinical adoption despite extensive research.

Area of Science:

  • Medical Informatics
  • Artificial Intelligence in Medicine

Background:

  • Expert systems, also known as intelligent knowledge-based systems (IKBS), function as decision-support tools.
  • These systems are increasingly applied in medical fields such as diagnosis and treatment planning.
  • Their primary role is to provide medical practitioners with expert-level knowledge access.

Purpose of the Study:

  • To provide a tutorial introduction to expert systems in medicine.
  • To explain the foundational technology behind medical expert systems.
  • To discuss current limitations and future applications of these systems.

Main Methods:

  • This paper offers a tutorial overview of expert systems technology.
  • It details the principles and architecture of IKBS in a medical context.

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  • The review covers existing research and practical considerations.

    • Main Results:

    • Expert systems demonstrate significant potential in augmenting medical decision-making.
    • Despite research investment, routine clinical integration of IKBS remains limited.
    • The technology's basis, limitations, and prospective uses are elucidated.

    Conclusions:

    • Expert systems represent a valuable, albeit underutilized, technology in healthcare.
    • Further research and development are needed to overcome barriers to clinical implementation.
    • Understanding the technology is crucial for realizing its prospective medical applications.