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

J M Long·E A Irani·D W Hunter·J R Slagle·J P Matts·W Castaneda·M Pearce·J Bissett·H Sawin·A Edmiston
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Abstract

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 coronary 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.

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AngiocardiographyClinical ProtocolsDiagnosis, Computer-AssistedExpert SystemsHumansMan-Machine SystemsJournal ArticleResearch Support, Non-U.S. Gov'tResearch Support, U.S. Gov't, P.H.S.

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J M Long, E A Irani, D W Hunter, J R Slagle, J P Matts, W Castaneda, M Pearce, J Bissett, H Sawin, A Edmiston. 1988. Using a symbiotic man/machine approach to evaluating visual clinical research data.. https://doi.org/10.1007/bf00996583

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