Literature DB >> 3515404

Computer-aided diagnostic strategy selection.

R A Greenes.   

Abstract

Determination of the optimal diagnostic work-up strategy for the patient is becoming a major concern for the practicing physician. Overlap of the indications for various diagnostic procedures, differences in their invasiveness or risk, and high costs have made physicians aware of the need to consider the choice of procedure carefully, as well as its relation to management actions available. In this article, the author discusses research approaches that aim toward development of formal decision analytic methods to allow the physician to determine optimal strategy; clinical algorithms or rules as guides to physician decisions; improved measures for characterizing the performance of diagnostic tests; educational tools for increasing the familiarity of physicians with the concepts underlying these measures and analytic procedures; and computer-based aids for facilitating the employment of these resources in actual clinical practice.

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Year:  1986        PMID: 3515404

Source DB:  PubMed          Journal:  Radiol Clin North Am        ISSN: 0033-8389            Impact factor:   2.303


  5 in total

1.  Radiology review: a modifiable computer program for practice and review in differential diagnosis.

Authors:  S B Gay; L R Watson
Journal:  J Digit Imaging       Date:  1991-05       Impact factor: 4.056

2.  A simple expert system shell for microcomputer-aided radiographic diagnosis.

Authors:  M G Dunne; S B Dunne
Journal:  J Digit Imaging       Date:  1990-02       Impact factor: 4.056

3.  A "building block" approach to application development for education and decision support in radiology: implications for integrated clinical information systems environments.

Authors:  R A Greenes
Journal:  J Digit Imaging       Date:  1991-11       Impact factor: 4.056

4.  Optimizing radiologic workup: an artificial intelligence approach.

Authors:  H A Swett; M Rothschild; G G Weltin; P R Fisher; P L Miller
Journal:  J Digit Imaging       Date:  1989-02       Impact factor: 4.056

5.  An online evidence-based decision support system for distinguishing benign from malignant vertebral compression fractures by magnetic resonance imaging feature analysis.

Authors:  Kenneth C Wang; Anthony Jeanmenne; Griffin M Weber; Shrey K Thawait; Shrey Thawait; John A Carrino
Journal:  J Digit Imaging       Date:  2011-06       Impact factor: 4.056

  5 in total

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