Impact of computer-placed prompts on sensitivity and specificity with different groups of mammographic film readers

Champness, J; Taylor, Paul; Given-Wilson, Rosalind

doi:10.1007/978-3-642-59327-7_66

Cited by 5 publications

(4 citation statements)

References 6 publications

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“…The analyses showed that the prompts had no significant impact on (neither improved nor diminished) readers' sensitivity and specificity [3].…”

Section: Methodsmentioning

confidence: 84%

“…Readers were also asked to make their decision on recall as if they were viewing the films as single readers in the screening programme. See more details in [3].…”

Section: Methodsmentioning

confidence: 99%

“…We use data from a clinical trial [3] which was run by researchers in University College London, UCL (in conjunction with various hospitals and breast screening centres in SE England), to assess the potential benefit of introducing a particular CAD tool, R2 ImageChecker [4], as part of the breast screening programme in the UK. The trial used a sizeable set of mammography cases and was conducted with a relatively large number of practitioners; it generated extensive empirical evidence of potential use to inform our probabilistic model.…”

Section: Introductionmentioning

confidence: 99%

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Does incorrect computer prompting affect human decision making? A case study in mammography

Alberdi¹,

Povyakalo²,

Strigini³

et al. 2003

International Congress Series

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The goal of the data collection and analyses described in this paper was to investigate the effects of incorrect output from a CAD tool on the reliability of the decisions of its human users. Our work follows on a clinical trial that evaluated the impact of introducing a computerised prompting tool (R2 ImageChecker) as part of the breast screening programme in the UK. Our goal was to use data obtained in this trial to feed into probabilistic models (similar to those used in "reliability engineering") which would allow us to find and assess possible ways of improving the interaction between the automated tool and its human user. A crucial requirement for this modelling approach is estimating the probability that a human will fail in his/her task when the output of the automated tool is incorrect. The data obtained from the clinical trial was not sufficient to inform this aspect of our probabilistic model. Therefore, we conducted a follow-up study to elucidate further the effects of computer failure on human performance. Preliminary analyses of the data resulting from the follow-up study are reported and discussed.

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“…The analyses showed that the prompts had no significant impact on (neither improved nor diminished) readers' sensitivity and specificity [3].…”

Section: Methodsmentioning

confidence: 84%

“…Readers were also asked to make their decision on recall as if they were viewing the films as single readers in the screening programme. See more details in [3].…”

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Does incorrect computer prompting affect human decision making? A case study in mammography

Alberdi¹,

Povyakalo²,

Strigini³

et al. 2003

International Congress Series

View full text Add to dashboard Cite

show abstract

“…Interpreting these X-ray images is a specialistic, difficult tasks, and computerised aids have been developed to help with it. Our interest in the problem arose in relation to clinical trials being conducted for a specific model of computer aid [2], but what we report here is related to general issues with this application area, and advisory systems in general, rather than to a particular product.…”

Section: Introductionmentioning

confidence: 99%

Human-machine diversity in the use of computerised advisory systems: a case study

Strigini¹,

Povyakalo

Alberdi

2003 International Conference on Dependable Systems and Networks, 2003. Proceedings.

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Computer-based advisory systems form with their users composite, human-machine systems. Redundancy and diversity between the human and the machine are often important for the dependability of such systems. We describe a case study on assessing failure probabilities for the analysis of X-ray films for detecting cancer, performed by a person assisted by a computerbased tool. Differently from most approaches to human reliability assessment, we focus on the effects of failure diversity -or correlation -between humans and machines. We illustrate some of the modelling and prediction problems, especially those caused by the presence of the human component. We show two alternative models, with their pros and cons, and illustrate, via numerical examples and analytically, some interesting and non-intuitive answers to questions about reliability assessment and design choices for human-computer systems.

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Computer-aided detection for screening mammography1

Astley

2004

Academic Radiology

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Impact of computer-placed prompts on sensitivity and specificity with different groups of mammographic film readers

Cited by 5 publications

References 6 publications

Does incorrect computer prompting affect human decision making? A case study in mammography

Does incorrect computer prompting affect human decision making? A case study in mammography

Human-machine diversity in the use of computerised advisory systems: a case study

Computer-aided detection for screening mammography1

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