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Neural computation in medicine

J A Reggia1

  • 1Dept of Computer Science, University of Maryland, College Park 20742.

Artificial Intelligence in Medicine
|April 1, 1993
PubMed
Summary
This summary is machine-generated.

Neural modeling has seen a resurgence, yielding powerful computational methods for medical informatics and psychiatric/neurological phenomena. This review assesses the current state and future potential of neural computation in medicine.

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Area of Science:

  • Computational neuroscience
  • Medical informatics
  • Artificial intelligence in medicine

Background:

  • Significant revival in neural modeling interest over the past decade.
  • Development of powerful computational methods from neural modeling research.
  • Increasing application of these methods to diverse medical problems.

Purpose of the Study:

  • To explain the fundamental nature of neural models.
  • To review neural computation applications in medical informatics and psychiatric/neurological modeling.
  • To assess the current state-of-the-art and speculate on future directions.

Main Methods:

  • Review of existing literature on neural computation in medicine.
  • Explanation of the principles behind neural models.

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  • Assessment of applications in expert systems and neurological/psychiatric phenomena modeling.

    • Main Results:

    • Neural computation offers advanced tools for medical informatics, including expert systems.
    • Significant progress has been made in modeling psychiatric and neurological phenomena using neural networks.
    • The field is rapidly evolving with substantial potential for future medical applications.

    Conclusions:

    • Neural modeling is a rapidly advancing field with significant implications for medical informatics and neuroscience.
    • Current computational methods show promise for diagnosing and understanding complex neurological and psychiatric conditions.
    • Future developments in neural computation are expected to further revolutionize medical research and practice.