PMID: 2488146Feb 1, 1989Paper

Optimizing radiologic workup: an artificial intelligence approach

Journal of Digital Imaging
H A SwettP L Miller

Abstract

The increasing complexity of diagnostic imaging is presenting an ever expanding variety of radiologic test options to clinicians. As a result, it is becoming more difficult for referring physicians to select an appropriate sequence of tests. The current economic pressures on medicine make it particularly important that resources be used judiciously. Radiologic workup often involves a sequence of tests that lead from presenting signs and symptoms to a definitive diagnosis or intervention. This sequence ideally begins with simple, inexpensive, safe, non-invasive tests and progresses to more complex, expensive, and hazardous tests only if the simpler tests are insufficient to establish a diagnosis. DxCON is a developmental artificial intelligence-based computer system that gives advice to physicians about the optimum sequencing of radiologic tests. DxCON evaluates basic clinical information and a physician's proposed workup plan. The system then creates an analysis of the strengths and weaknesses of his plan. The domain chosen to explore computer-based workup advice is the radiologic workup of obstructive jaundice.

References

Jan 1, 1990·Computer Methods and Programs in Biomedicine·M A RothschildP L Miller
Jan 1, 1987·Medical Decision Making : an International Journal of the Society for Medical Decision Making·P L MillerN J Mars
Dec 1, 1984·Computers and Biomedical Research, an International Journal·P L MillerH R Black
Feb 1, 1984·Computers and Biomedical Research, an International Journal·P L Miller, H R Black

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Citations

Mar 1, 1994·Journal of the American Medical Informatics Association : JAMIA·D F Sittig, W W Stead
Aug 19, 2020·Canadian Association of Radiologists Journal = Journal L'Association Canadienne Des Radiologistes·Natalia Gorelik, Soterios Gyftopoulos

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