1990
DOI: 10.1097/00004728-199009000-00042
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Evaluation of a PACS Workstation for Assessment of Body CT Studies

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1992
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Cited by 18 publications
(3 citation statements)
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“…Large international research collectives such as PRIMAGE, with access to adequate big data sets, are pursuing deep machine learning that could facilitate personalized imaging biomarkers [ 88 ]. We consider these efforts as highly promising, despite earlier research in computer-aided radiology that suggested computer-aided detection had not substantially improved the incidence of human error [ 44 , 89 92 ], and are looking forward to further validation. For the present, at least, imaging interpretation relies on human expertise; and, reader variability remains an unavoidable reality.…”
Section: Discussionmentioning
confidence: 99%
“…Large international research collectives such as PRIMAGE, with access to adequate big data sets, are pursuing deep machine learning that could facilitate personalized imaging biomarkers [ 88 ]. We consider these efforts as highly promising, despite earlier research in computer-aided radiology that suggested computer-aided detection had not substantially improved the incidence of human error [ 44 , 89 92 ], and are looking forward to further validation. For the present, at least, imaging interpretation relies on human expertise; and, reader variability remains an unavoidable reality.…”
Section: Discussionmentioning
confidence: 99%
“…This observation has been made previously in comparing CT images on PACS and on film. 8 We also have demonstrated that there is no significant loss of resolution when comparing an image on the ultrasound monitor with the same image on a PACS monitor in our system.…”
Section: Discussionmentioning
confidence: 63%
“…Despite the theoretic advantages of soft-copy interpretation of CT, other studies [7][8][9][10][11] have found unacceptably slow interpretation times when compared with those of conventional hard-copy interpretation with film. Our study was undertaken to determine if radiologists' productivity could be enhanced in the routine interpretation of CT with current PACS technology.…”
mentioning
confidence: 98%