Literature DB >> 11825167

Development of visual diagnostic expertise in pathology.

R S Crowley1, G J Naus, C P Friedman.   

Abstract

In this study, we use methods from information-processing to explore the visual diagnostic processes of novice, intermediate, and expert pathologists. Subjects were asked to examine and interpret a set of slides while we collected think-aloud verbal protocols and captured on digital video the actual visual data they examined from the microscope. We performed an in-depth combined video and protocol-based analysis of processes and errors occurring as the task was performed. Additionally, we collected measures of accuracy, certainty, and difficulty for all cases. Our preliminary analysis identified significant differences between groups in all three major aspects of this task: searching skills, perceptual skills and cognitive/reasoning skills. We describe the implications of our preliminary cognitive task analysis on the design of a developing intelligent educational system in Pathology.

Mesh:

Year:  2001        PMID: 11825167      PMCID: PMC2243368     

Source DB:  PubMed          Journal:  Proc AMIA Symp        ISSN: 1531-605X


  5 in total

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Authors:  V L Patel; G J Groen; J F Arocha
Journal:  Mem Cognit       Date:  1990-07

Review 2.  AI in medical education--another grand challenge for medical informatics.

Authors:  S I Lillehaug; S P Lajoie
Journal:  Artif Intell Med       Date:  1998-03       Impact factor: 5.326

3.  Nature of expertise in searching mammograms for breast masses.

Authors:  C F Nodine; H L Kundel; S C Lauver; L C Toto
Journal:  Acad Radiol       Date:  1996-12       Impact factor: 3.173

4.  Hypothesis generation and the coordination of theory and evidence in novice diagnostic reasoning.

Authors:  J F Arocha; V L Patel; Y C Patel
Journal:  Med Decis Making       Date:  1993 Jul-Sep       Impact factor: 2.583

5.  Visual scanning, pattern recognition and decision-making in pulmonary nodule detection.

Authors:  H L Kundel; C F Nodine; D Carmody
Journal:  Invest Radiol       Date:  1978 May-Jun       Impact factor: 6.016

  5 in total
  3 in total

1.  Cognitive processing differences of experts and novices when correlating anatomy and cross-sectional imaging.

Authors:  Lonie R Salkowski; Rosemary Russ
Journal:  J Med Imaging (Bellingham)       Date:  2018-05-18

2.  Simulation-Based Cryosurgery Intelligent Tutoring System Prototype.

Authors:  Anjali Sehrawat; Robert Keelan; Kenji Shimada; Dona M Wilfong; James T McCormick; Yoed Rabin
Journal:  Technol Cancer Res Treat       Date:  2015-05-03

3.  A supervised visual model for finding regions of interest in basal cell carcinoma images.

Authors:  Ricardo Gutiérrez; Francisco Gómez; Lucía Roa-Peña; Eduardo Romero
Journal:  Diagn Pathol       Date:  2011-03-29       Impact factor: 2.644

  3 in total

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