Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Four ontological models for radiological diagnostics.

James M Fielding1, Dirk Marwede

  • 1Institute for Formal Ontology and Medical Information Science, Saarbrücken, Germany. matthew.fielding@ifomis.uni-saarland.de

Studies in Health Technology and Informatics
|November 17, 2006
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Imaging findings and differential diagnosis of infradiaphragmatic pulmonary sequestration.

Pediatrics international : official journal of the Japan Pediatric Society·2008
Same author

RadiO: a prototype application ontology for radiology reporting tasks.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2008
Same author

Indexing thoracic CT reports using a preliminary version of a standardized radiological lexicon (RadLex).

Journal of digital imaging·2007
Same author

An ontology for carcinoma classification for clinical bioinformatics.

Studies in health technology and informatics·2005
Same author

The epistemological-ontological divide in clinical radiology.

Studies in health technology and informatics·2005

This study defines diagnostic models and relations in radiology using formal ontology. These models can be applied to various clinical diagnostic situations beyond medical imaging.

Area of Science:

  • Medical Informatics
  • Ontology Engineering
  • Radiology

Background:

  • Diagnostic reasoning in radiology relies on complex information.
  • Formalizing diagnostic processes can improve consistency and understanding.

Purpose of the Study:

  • To develop formal ontological models for diagnostic reasoning in radiology.
  • To define a set of diagnostic relations applicable to clinical imaging situations.

Main Methods:

  • Isolation of four distinct diagnostic models within radiology.
  • Description of general formal ontological notions.
  • Development of an ontological model specific to the medical imaging domain.

Main Results:

  • Successfully isolated four diagnostic models in radiology.

Related Experiment Videos

  • Defined a comprehensive set of diagnostic relations for each model.
  • Established a formal ontological framework for the imaging domain.

    • Conclusions:

    • The developed diagnostic models and relations offer a structured approach to radiological diagnosis.
    • The ontological framework has potential applications in diagnostic situations beyond radiology.