When and why might a computer-aided detection (CAD) system interfere with visual search? An eye-tracking study.
Rational and Objectives: Computer-aided detection (CAD) systems are intended to improve performance. This study investigates how CAD might actually interfere with a visual search task. This is a laboratory study with implications for clinical use of CAD.Methods: Forty-seven naive observers in two st...
| Publicado en: | Academic Radiology Vol. 19; no. 10; pp. 1260 - 1268 |
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| Autores principales: | , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Elsevier B.V.
Oct2012
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104366063&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104366063 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10766332 T4X jtl: Academic Radiology issn: 10766332 maglogo: N pubinfo: dt: Oct2012 vid: 19 iid: 10 pid: 467 pub: Elsevier B.V. place: New York, New York artinfo: ui: 104366063 NLM22958720 2011677169 10.1016/j.acra.2012.05.013 NLM22958720 PMC3438519 104366063 ppf: 1260 ppct: 8 formats: tig: atl: When and why might a computer-aided detection (CAD) system interfere with visual search? An eye-tracking study. aug: au: Drew T Cunningham C Wolfe JM Drew, Trafton Cunningham, Corbin Wolfe, Jeremy M affil: Visual Attention Lab, Department of Surgery, Brigham & Women's Hospital, 64 Sidney St. Suite. 170, Cambridge, MA 0213-4170, USA sug: subj: Artificial Intelligence Eye Movements Physiology Observer Bias Information Science Methods Visual Perception Physiology Radiographic Image Interpretation, Computer-Assisted Methods Tomography, X-Ray Computed Methods Adolescence Adult Female Human Male Middle Age Reproducibility of Results Sensitivity and Specificity Young Adult Adolescent: 13-18 years Adult: 19-44 years Middle Aged: 45-64 years Female Male ab: Rational and Objectives: Computer-aided detection (CAD) systems are intended to improve performance. This study investigates how CAD might actually interfere with a visual search task. This is a laboratory study with implications for clinical use of CAD.Methods: Forty-seven naive observers in two studies were asked to search for a target, embedded in 1/f(2.4) noise while we monitored their eye movements. For some observers, a CAD system marked 75% of targets and 10% of distractors, whereas other observers completed the study without CAD. In experiment 1, the CAD system's primary function was to tell observers where the target might be. In experiment 2, CAD provided information about target identity.Results: In experiment 1, there was a significant enhancement of observer sensitivity in the presence of CAD (t(22) = 4.74, P < .001), but there was also a substantial cost. Targets that were not marked by the CAD system were missed more frequently than equivalent targets in no-CAD blocks of the experiment (t(22) = 7.02, P < .001). Experiment 2 showed no behavioral benefit from CAD, but also no significant cost on sensitivity to unmarked targets (t(22) = 0.6, P = NS). Finally, in both experiments, CAD produced reliable changes in eye movements: CAD observers examined a lower total percentage of the search area than the no-CAD observers (experiment 1: t(48) = 3.05, P < .005; experiment 2: t(50) = 7.31, P < .001).Conclusions: CAD signals do not combine with observers' unaided performance in a straightforward manner. CAD can engender a sense of certainty that can lead to incomplete search and elevated chances of missing unmarked stimuli. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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