Document Detail


ReportTutor - an intelligent tutoring system that uses a natural language interface.
MedLine Citation:
PMID:  16779024     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
ReportTutor is an extension to our work on Intelligent Tutoring Systems for visual diagnosis. ReportTutor combines a virtual microscope and a natural language interface to allow students to visually inspect a virtual slide as they type a diagnostic report on the case. The system monitors both actions in the virtual microscope interface as well as text created by the student in the reporting interface. It provides feedback about the correctness, completeness, and style of the report. ReportTutor uses MMTx with a custom data-source created with the NCI Metathesaurus. A separate ontology of cancer specific concepts is used to structure the domain knowledge needed for evaluation of the student's input including co-reference resolution. As part of the early evaluation of the system, we collected data from 4 pathology residents who typed in their reports without the tutoring aspects of the system, and compared responses to an expert dermatopathologist. We analyzed the resulting reports to (1) identify the error rates and distribution among student reports, (2) determine the performance of the system in identifying features within student reports, and (3) measure the accuracy of the system in distinguishing between correct and incorrect report elements.
Authors:
Rebecca S Crowley; Eugene Tseytlin; Drazen Jukic
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Publication Detail:
Type:  Evaluation Studies; Journal Article; Research Support, N.I.H., Extramural    
Journal Detail:
Title:  AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium     Volume:  -     ISSN:  1942-597X     ISO Abbreviation:  AMIA Annu Symp Proc     Publication Date:  2005  
Date Detail:
Created Date:  2006-06-16     Completed Date:  2007-02-15     Revised Date:  2013-06-07    
Medline Journal Info:
Nlm Unique ID:  101209213     Medline TA:  AMIA Annu Symp Proc     Country:  United States    
Other Details:
Languages:  eng     Pagination:  171-5     Citation Subset:  IM    
Affiliation:
Centers for Oncology & Pathology Informatics, University of Pittsburgh School of Medicine, PA, USA.
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MeSH Terms
Descriptor/Qualifier:
Artificial Intelligence
Computer Systems
Computer-Assisted Instruction*
Humans
Natural Language Processing*
Pathology / education*
Pilot Projects
Skin / pathology
User-Computer Interface
Vocabulary, Controlled
Grant Support
ID/Acronym/Agency:
LM007885/LM/NLM NIH HHS; R25 CA101959/CA/NCI NIH HHS
Comments/Corrections

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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