Literature DB >> 11137471

Structured computer-based training in the interpretation of neuroradiological images.

M Sharples1, N P Jeffery, B du Boulay, B A Teather, D Teather, G H du Boulay.   

Abstract

Computer-based systems may be able to address a recognised need throughout the medical profession for a more structured approach to training. We describe a combined training system for neuroradiology, the MR Tutor that differs from previous approaches to computer-assisted training in radiology in that it provides case-based tuition whereby the system and user communicate in terms of a well-founded Image Description Language. The system implements a novel method of visualisation and interaction with a library of fully described cases utilising statistical models of similarity, typicality and disease categorisation of cases. We describe the rationale, knowledge representation and design of the system, and provide a formative evaluation of its usability and effectiveness.

Mesh:

Year:  2000        PMID: 11137471     DOI: 10.1016/s1386-5056(00)00101-5

Source DB:  PubMed          Journal:  Int J Med Inform        ISSN: 1386-5056            Impact factor:   4.046


  8 in total

1.  A general architecture for intelligent tutoring of diagnostic classification problem solving.

Authors:  Rebecca S Crowley; Olga Medvedeva
Journal:  AMIA Annu Symp Proc       Date:  2003

2.  Evaluation of an intelligent tutoring system in pathology: effects of external representation on performance gains, metacognition, and acceptance.

Authors:  Rebecca S Crowley; Elizabeth Legowski; Olga Medvedeva; Eugene Tseytlin; Ellen Roh; Drazen Jukic
Journal:  J Am Med Inform Assoc       Date:  2007-01-09       Impact factor: 4.497

3.  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

4.  Factors affecting feeling-of-knowing in a medical intelligent tutoring system: the role of immediate feedback as a metacognitive scaffold.

Authors:  Gilan M El Saadawi; Roger Azevedo; Melissa Castine; Velma Payne; Olga Medvedeva; Eugene Tseytlin; Elizabeth Legowski; Drazen Jukic; Rebecca S Crowley
Journal:  Adv Health Sci Educ Theory Pract       Date:  2009-05-12       Impact factor: 3.853

5.  METACOGNITIVE SCAFFOLDS IMPROVE SELF-JUDGMENTS OF ACCURACY IN A MEDICAL INTELLIGENT TUTORING SYSTEM.

Authors:  Reza Feyzi-Behnagh; Roger Azevedo; Elizabeth Legowski; Kayse Reitmeyer; Eugene Tseytlin; Rebecca S Crowley
Journal:  Instr Sci       Date:  2014-03

6.  Comparison of diagnostic quality and accuracy in color-coded versus gray-scale DCE-MR imaging display.

Authors:  A Mehndiratta; M V Knopp; C M Zechmann; M Owsijewitsch; H von Tengg-Kobligk; P Zamecnik; H U Kauczor; P L Choyke; F L Giesel
Journal:  Int J Comput Assist Radiol Surg       Date:  2009-06-04       Impact factor: 2.924

7.  Play dough as an educational tool for visualization of complicated cerebral aneurysm anatomy.

Authors:  Behzad Eftekhar; Mohammad Ghodsi; Ebrahim Ketabchi; Arman Rakan Ghazvini
Journal:  BMC Med Educ       Date:  2005-05-10       Impact factor: 2.463

8.  Development and application of a multi-modal task analysis to support intelligent tutoring of complex skills.

Authors:  Anna Skinner; David Diller; Rohit Kumar; Jan Cannon-Bowers; Roger Smith; Alyssa Tanaka; Danielle Julian; Ray Perez
Journal:  Int J STEM Educ       Date:  2018-04-15
  8 in total

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