Using a symbiotic man/machine approach to evaluating visual clinical research data

John M. Long, Erach A. Irani, David W. Hunter, James R. Slagle, John P. Matts, Wilfrido Castaneda, Malcolm Pearce, Joseph Bissett, Henry Sawin, Alan Edmiston, Frederic Weber, Kurt Amplatz, Miguel Sanmarco

Research output: Contribution to journalArticlepeer-review

5 Scopus citations


Some candidate medical expert system applications have a significant visual component. Knowledge engineers usually dismiss such task domains as potential expert systems applications. Our success in developing ESCA, a system for evaluating serial angiograms, shows that such task domains should not be dismissed so quickly. We used a symbiotic approach between man and machine, where technologists provide the visual skills with an expert system imitating the conceptual skills of the expert, to produce a partially automated system that is more consistent and cost effective than one that is fully manual. The agreement between the system's conclusions and that of a panel of experts is good. The expert system actually has a slightly higher agreement rate with the expert panel than the agreement rate between two expert panel teams evaluating the same film pair.

Original languageEnglish (US)
Pages (from-to)327-339
Number of pages13
JournalJournal of Medical Systems
Issue number5
StatePublished - Oct 1988

ASJC Scopus subject areas

  • Medicine (miscellaneous)
  • Information Systems
  • Health Informatics
  • Health Information Management


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