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J Am Med Inform Assoc 1996;3:363-366 doi:10.1136/jamia.1996.97084510
  • The Practice of Informatics
  • Viewpoint

Artificial Intelligence in Medicine: The Challenges Ahead

  1. Enrico W Coiera
  1. Affiliation of the authors: Hewlett-Packard Research Laboratories, Bristol, England
  1. Correspondence and reprints: Enrico W.Coiera, MB, PhD, Hewlett-Packard Research Laboratories, Filton Road, Stoke-Gifford, Bristol BS12 6QZ, UK. e-mail: ewc{at}hplb.hpl.hp.com

    Abstract

    The modern study of artificial intelligence in medicine (AIM) is 25years old. Throughout this period, the field has attracted many of the best computer scientists, and their work represents a remarkable achievement. However, AIM has not been successful-if success is judged as making an impact on the practice of medicine. Much recent work in AIM has been focused inward, addressing problems that are at the crossroads of the parent disciplines of medicine and artificial intelligence. Now, AIM must move forward with the insights that it has gained and focus on finding solutions for problems at the heart of medical practice. The growing emphasis within medicine on evidence- based practice should provide the right environment for that change.

    Footnotes

    • An earlier version of this paper was presented as the opening address at the IEE Colloquium on Artificial Intelligence in Medicine, Savoy Place, London, on February 19, 1996.

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