Literature DB >> 2488148

Problems in applying expert system technology to radiographic image interpretation.

D W Piraino1, B J Richmond, M Uetani, T Luetkehaus, D Rockey, G Belhobek, J Armistead, F Jones.   

Abstract

A prototype expert system was developed to study the problems applying expert system technology to radiographic image interpretation. The Radiographic Image Interpretation System (RIIS) was developed on a microcomputer using Turbo Prolog, a low cost implementation of the prolog programming language. The present implementation of RIIS was developed to highlight potential problems in applying expert system technology in the evaluation of radiographic images. It was believed that the evaluation of this prototype expert system should include a large number of users unfamiliar with the program's use as this would probably be the case in clinical use of an image interpretation expert system. At present, the expert system deals with a limited domain of focal bony lesions. Twenty cases of pathologically proven bony lesions of varying difficulty were used to evaluate potential problems in the use of this expert system technology. RIIS, with the 20 sample cases, was presented as an exhibit at the 1987 Radiological Society of North America (RSNA) meeting to evaluate the potential problems with inexperienced users. These results were compared with those of experienced users. When a musculoskeletal radiologist, familiar with the programs use, provided the "proper description," the program averaged the correct diagnosis in the top five 80% of the time. During the program's use at the RSNA meeting, the program selected the correct diagnosis in the top five 22% of the time.

Mesh:

Year:  1989        PMID: 2488148     DOI: 10.1007/bf03168011

Source DB:  PubMed          Journal:  J Digit Imaging        ISSN: 0897-1889            Impact factor:   4.056


  3 in total

1.  A performance evaluation of the expert system ANEMIA.

Authors:  S Quaglini; M Stefanelli; G Barosi; A Berzuini
Journal:  Comput Biomed Res       Date:  1988-08

2.  Internist-1, an experimental computer-based diagnostic consultant for general internal medicine.

Authors:  R A Miller; H E Pople; J D Myers
Journal:  N Engl J Med       Date:  1982-08-19       Impact factor: 91.245

3.  ICON: a computer-based approach to differential diagnosis in radiology.

Authors:  H A Swett; P L Miller
Journal:  Radiology       Date:  1987-05       Impact factor: 11.105

  3 in total
  4 in total

1.  Information retrieval for teaching files: a preliminary study.

Authors:  J M Bramble; M F Insana; S J Dwyer
Journal:  J Digit Imaging       Date:  1990-08       Impact factor: 4.056

2.  Radiology image interpretation system: modified observer performance study of an image interpretation expert system.

Authors:  D Piraino; B Richmond; M Schluchter; D Rockey; J Schils
Journal:  J Digit Imaging       Date:  1991-05       Impact factor: 4.056

3.  The prospect of expert system-based cognitive support as a by-product of image acquisition and reporting.

Authors:  P G Mutalik; G G Weltin; P R Fisher; H A Swett
Journal:  J Digit Imaging       Date:  1991-11       Impact factor: 4.056

4.  Application of an artificial neural network in radiographic diagnosis.

Authors:  D W Piraino; S C Amartur; B J Richmond; J P Schils; J M Thome; G H Belhobek; M D Schlucter
Journal:  J Digit Imaging       Date:  1991-11       Impact factor: 4.056

  4 in total

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