title: Using a symbiotic man/machine approach to evaluating visual clinical research data.
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.
authors.affiliation: University of Minnesota, Minneapolis 55455.
authors.forename: J M
authors.initials: JM
authors.lastname: Long
authors.forename: E A
authors.initials: EA
authors.lastname: Irani
authors.forename: D W
authors.initials: DW
authors.lastname: Hunter
authors.forename: J R
authors.initials: JR
authors.lastname: Slagle
authors.forename: J P
authors.initials: JP
authors.lastname: Matts
authors.forename: W
authors.initials: W
authors.lastname: Castaneda
authors.forename: M
authors.initials: M
authors.lastname: Pearce
authors.forename: J
authors.initials: J
authors.lastname: Bissett
authors.forename: H
authors.initials: H
authors.lastname: Sawin
authors.forename: A
authors.initials: A
authors.lastname: Edmiston
mesh_terms: D000790:Angiocardiography; D002985:Clinical Protocols; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D005103:Expert Systems; D006801:Humans; D008328:Man-Machine Systems