Literature DB >> 20601701

Current perspectives in medical image perception.

Elizabeth A Krupinski1.   

Abstract

Medical images constitute a core portion of the information a physician utilizes to render diagnostic and treatment decisions. At a fundamental level, this diagnostic process involves two basic processes: visually inspecting the image (visual perception) and rendering an interpretation (cognition). The likelihood of error in the interpretation of medical images is, unfortunately, not negligible. Errors do occur, and patients' lives are impacted, underscoring our need to understand how physicians interact with the information in an image during the interpretation process. With improved understanding, we can develop ways to further improve decision making and, thus, to improve patient care. The science of medical image perception is dedicated to understanding and improving the clinical interpretation process.

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Year:  2010        PMID: 20601701      PMCID: PMC3881280          DOI: 10.3758/APP.72.5.1205

Source DB:  PubMed          Journal:  Atten Percept Psychophys        ISSN: 1943-3921            Impact factor:   2.199


  61 in total

1.  Association of volume and volume-independent factors with accuracy in screening mammogram interpretation.

Authors:  Craig A Beam; Emily F Conant; Edward A Sickles
Journal:  J Natl Cancer Inst       Date:  2003-02-19       Impact factor: 13.506

2.  Descriptive classification of pulmonary shadows; a revelation of unreliability in the roentgenographic diagnosis of tuberculosis.

Authors:  R R NEWELL; W E CHAMBERLAIN; L RIGLER
Journal:  Am Rev Tuberc       Date:  1954-04

3.  Searching for lung nodules. Visual dwell indicates locations of false-positive and false-negative decisions.

Authors:  H L Kundel; C F Nodine; E A Krupinski
Journal:  Invest Radiol       Date:  1989-06       Impact factor: 6.016

4.  Errors of omission.

Authors:  Leonard Berlin
Journal:  AJR Am J Roentgenol       Date:  2005-12       Impact factor: 3.959

5.  Workload of radiologists in the United States in 2002-2003 and trends since 1991-1992.

Authors:  Mythreyi Bhargavan; Jonathan H Sunshine
Journal:  Radiology       Date:  2005-07-12       Impact factor: 11.105

6.  Determinants of radiologists' desired workloads.

Authors:  Cristian Meghea; Jonathan H Sunshine
Journal:  J Am Coll Radiol       Date:  2007-03       Impact factor: 5.532

7.  Visual scanning patterns of radiologists searching mammograms.

Authors:  E A Krupinski
Journal:  Acad Radiol       Date:  1996-02       Impact factor: 3.173

8.  Maximum likelihood analysis of free-response receiver operating characteristic (FROC) data.

Authors:  D P Chakraborty
Journal:  Med Phys       Date:  1989 Jul-Aug       Impact factor: 4.071

9.  Reliable and computationally efficient maximum-likelihood estimation of "proper" binormal ROC curves.

Authors:  Lorenzo L Pesce; Charles E Metz
Journal:  Acad Radiol       Date:  2007-07       Impact factor: 3.173

10.  Audit of the change in the on-call practices in neuroradiology and factors affecting it.

Authors:  Nitin Mukerji; Dorothy Wallace; Dipayan Mitra
Journal:  BMC Med Imaging       Date:  2006-10-16       Impact factor: 1.930

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  48 in total

1.  Investigating the link between radiologists' gaze, diagnostic decision, and image content.

Authors:  Georgia Tourassi; Sophie Voisin; Vincent Paquit; Elizabeth Krupinski
Journal:  J Am Med Inform Assoc       Date:  2013-06-20       Impact factor: 4.497

Review 2.  Emerging applications of eye-tracking technology in dermatology.

Authors:  Kevin K John; Jakob D Jensen; Andy J King; Manusheela Pokharel; Douglas Grossman
Journal:  J Dermatol Sci       Date:  2018-04-06       Impact factor: 4.563

Review 3.  Redefining the Practice of Peer Review Through Intelligent Automation Part 1: Creation of a Standardized Methodology and Referenceable Database.

Authors:  Bruce I Reiner
Journal:  J Digit Imaging       Date:  2017-10       Impact factor: 4.056

4.  Evolutionary image simplification for lung nodule classification with convolutional neural networks.

Authors:  Daniel Lückehe; Gabriele von Voigt
Journal:  Int J Comput Assist Radiol Surg       Date:  2018-05-29       Impact factor: 2.924

5.  Enhancing Parathyroid Gland Visualization Using a Near Infrared Fluorescence-Based Overlay Imaging System.

Authors:  Melanie A McWade; Giju Thomas; John Q Nguyen; Melinda E Sanders; Carmen C Solórzano; Anita Mahadevan-Jansen
Journal:  J Am Coll Surg       Date:  2019-02-13       Impact factor: 6.113

6.  The effect of expert knowledge on medical search: medical experts have specialized abilities for detecting serious lesions.

Authors:  Ryoichi Nakashima; Chisaki Watanabe; Eriko Maeda; Takeharu Yoshikawa; Izuru Matsuda; Soichiro Miki; Kazuhiko Yokosawa
Journal:  Psychol Res       Date:  2014-10-01

7.  Risk Factors for Perceptual-versus-Interpretative Errors in Diagnostic Neuroradiology.

Authors:  S H Patel; C L Stanton; S G Miller; J T Patrie; J N Itri; T M Shepherd
Journal:  AJNR Am J Neuroradiol       Date:  2019-07-11       Impact factor: 3.825

8.  Renal cancer at unenhanced CT: imaging features, detection rates, and outcomes.

Authors:  Stacy D O'Connor; Stuart G Silverman; Laila R Cochon; Ramin K Khorasani
Journal:  Abdom Radiol (NY)       Date:  2018-07

9.  Search pattern training for evaluation of central venous catheter positioning on chest radiographs.

Authors:  William F Auffermann; Elizabeth A Krupinski; Srini Tridandapani
Journal:  J Med Imaging (Bellingham)       Date:  2018-03-15

10.  Development and validation of the Lesion Synthesis Toolbox and the Perception Study Tool for quantifying observer limits of detection of lesions in positron emission tomography.

Authors:  Hanif Gabrani-Juma; Zamzam Al Bimani; Lionel S Zuckier; Ran Klein
Journal:  J Med Imaging (Bellingham)       Date:  2020-04-21
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