Charles E Kahn

Summary

Affiliation: Medical College of Wisconsin
Country: USA

Publications

  1. ncbi Accurate Determination of Imaging Modality using an Ensemble of Text- and Image-Based Classifiers
    Charles E Kahn
    Department of Radiology, Medical College of Wisconsin, 9200 W Wisconsin Ave, Milwaukee, WI, 53226, USA
    J Digit Imaging 25:37-42. 2012
  2. ncbi GoldMiner: a radiology image search engine
    Charles E Kahn
    Department of Radiology, Medical College of Wisconsin, 9200 W Wisconsin Ave, Milwaukee, WI 53226, USA
    AJR Am J Roentgenol 188:1475-8. 2007
  3. ncbi Effective metadata discovery for dynamic filtering of queries to a radiology image search engine
    Charles E Kahn
    Division of Informatics, Department of Radiology, Medical College of Wisconsin, 9200 W Wisconsin Ave, Milwaukee, WI 53226, USA
    J Digit Imaging 21:269-73. 2008
  4. ncbi DICOM and radiology: past, present, and future
    Charles E Kahn
    Department of Radiology, Medical College of Wisconsin, Milwaukee, Wisconsin, 53226, USA
    J Am Coll Radiol 4:652-7. 2007
  5. ncbi Dynamic "inline" images: context-sensitive retrieval and integration of images into Web documents
    Charles E Kahn
    Department of Radiology, Medical College of Wisconsin, Milwaukee, WI 53226, USA
    J Digit Imaging 21:274-9. 2008
  6. ncbi Multilingual retrieval of radiology images
    Charles E Kahn
    Department of Radiology, Medical College of Wisconsin, 9200 W Wisconsin Ave, Milwaukee, WI 53226, USA
    Radiographics 29:23-9. 2009
  7. ncbi Automated semantic indexing of figure captions to improve radiology image retrieval
    Charles E Kahn
    Division of Informatics, Department of Radiology, Medical College of Wisconsin, 9200 W Wisconsin Ave, Milwaukee, WI 53226, USA
    J Am Med Inform Assoc 16:380-6. 2009
  8. ncbi Toward best practices in radiology reporting
    Charles E Kahn
    Department of Radiology, Medical College of Wisconsin, 9200 W Wisconsin Ave, Milwaukee, WI 53226, USA
    Radiology 252:852-6. 2009
  9. ncbi Informatics in radiology: an information model of the DICOM standard
    Charles E Kahn
    Department of Radiology, Medical College of Wisconsin, 9200 W Wisconsin Ave, Milwaukee, Wis 53226, USA
    Radiographics 31:295-304. 2011
  10. ncbi A presentation system for just-in-time learning in radiology
    Charles E Kahn
    Division of Informatics, Department of Radiology, Medical College of Wisconsin, 9200 W Wisconsin Ave, Milwaukee, WI, USA
    J Digit Imaging 20:6-16. 2007

Detail Information

Publications26

  1. ncbi Accurate Determination of Imaging Modality using an Ensemble of Text- and Image-Based Classifiers
    Charles E Kahn
    Department of Radiology, Medical College of Wisconsin, 9200 W Wisconsin Ave, Milwaukee, WI, 53226, USA
    J Digit Imaging 25:37-42. 2012
    ..The imaging modality of figures published in radiology journals can be determined with high accuracy, which will improve systems for image retrieval...
  2. ncbi GoldMiner: a radiology image search engine
    Charles E Kahn
    Department of Radiology, Medical College of Wisconsin, 9200 W Wisconsin Ave, Milwaukee, WI 53226, USA
    AJR Am J Roentgenol 188:1475-8. 2007
    ..CONCLUSION: The GoldMiner search engine provides easy, rapid access to a large library of images and their associated text, and it is freely available for use on the Internet...
  3. ncbi Effective metadata discovery for dynamic filtering of queries to a radiology image search engine
    Charles E Kahn
    Division of Informatics, Department of Radiology, Medical College of Wisconsin, 9200 W Wisconsin Ave, Milwaukee, WI 53226, USA
    J Digit Imaging 21:269-73. 2008
    ..Automated techniques can accurately discover age, sex, and imaging modality metadata from captions of figures published in radiology journals. The metadata can be used to dynamically filter queries for an image search engine...
  4. ncbi DICOM and radiology: past, present, and future
    Charles E Kahn
    Department of Radiology, Medical College of Wisconsin, Milwaukee, Wisconsin, 53226, USA
    J Am Coll Radiol 4:652-7. 2007
  5. ncbi Dynamic "inline" images: context-sensitive retrieval and integration of images into Web documents
    Charles E Kahn
    Department of Radiology, Medical College of Wisconsin, Milwaukee, WI 53226, USA
    J Digit Imaging 21:274-9. 2008
    ..These techniques allow web developers to incorporate easily a context-sensitive image gallery into their documents...
  6. ncbi Multilingual retrieval of radiology images
    Charles E Kahn
    Department of Radiology, Medical College of Wisconsin, 9200 W Wisconsin Ave, Milwaukee, WI 53226, USA
    Radiographics 29:23-9. 2009
    ..Explanatory text, pull-down menu choices, and navigational guides are displayed in the selected language; search results are displayed in English. GoldMiner Global is freely available on the World Wide Web...
  7. ncbi Automated semantic indexing of figure captions to improve radiology image retrieval
    Charles E Kahn
    Division of Informatics, Department of Radiology, Medical College of Wisconsin, 9200 W Wisconsin Ave, Milwaukee, WI 53226, USA
    J Am Med Inform Assoc 16:380-6. 2009
    ..We explored automated concept-based indexing of unstructured figure captions to improve retrieval of images from radiology journals...
  8. ncbi Toward best practices in radiology reporting
    Charles E Kahn
    Department of Radiology, Medical College of Wisconsin, 9200 W Wisconsin Ave, Milwaukee, WI 53226, USA
    Radiology 252:852-6. 2009
    ..The committee's charter provides an opportunity to improve the organization, content, readability, and usefulness of the radiology report and to advance the efficiency and effectiveness of the reporting process...
  9. ncbi Informatics in radiology: an information model of the DICOM standard
    Charles E Kahn
    Department of Radiology, Medical College of Wisconsin, 9200 W Wisconsin Ave, Milwaukee, Wis 53226, USA
    Radiographics 31:295-304. 2011
    ....
  10. ncbi A presentation system for just-in-time learning in radiology
    Charles E Kahn
    Division of Informatics, Department of Radiology, Medical College of Wisconsin, 9200 W Wisconsin Ave, Milwaukee, WI, USA
    J Digit Imaging 20:6-16. 2007
    ..TEMPO enables just-in-time learning in radiology, and can be extended to create a fully functional learning management system for point-of-care learning in radiology...
  11. ncbi An ontology for PACS integration
    Charles E Kahn
    Division of Informatics, Department of Radiology, Medical College of Wisconsin, Milwaukee, WI 53226, USA
    J Digit Imaging 19:316-27. 2006
    ..Ontologies can represent radiological and clinical knowledge to integrate PACS with the clinical enterprise and to support the radiology interpretation process...
  12. ncbi Standard Generalized Markup Language for self-defining structured reports
    C E Kahn
    Office of Clinical Informatics, Medical College of Wisconsin, Milwaukee 53226, USA
    Int J Med Inform 53:203-11. 1999
    ..The use of open standards such as SGML is an important step in the creation of open, universally comprehensible structured reports...
  13. ncbi An Internet-based ontology editor for medical appropriateness criteria
    C E Kahn
    Department of Radiology, Medical College of Wisconsin, Milwaukee 53226, USA
    Comput Methods Programs Biomed 56:31-6. 1998
    ..Ontologies built using the system can be imported and exported using an open, internationally standardized format based on the Standard Generalized Markup Language (SGML)...
  14. ncbi Self-documenting structured reports using open information standards
    C E Kahn
    Department of Radiology, Medical College of Wisconsin, Milwaukee 53226, USA
    Stud Health Technol Inform 52:403-7. 1998
    ..By linking its reporting concepts with those of external vocabularies such as the UMLS Metathesaurus, this system can create open, universally comprehensible structured reports...
  15. ncbi Design and implementation of an Internet-based health information resource
    C E Kahn
    Office of Clinical Informatics, Medical College of Wisconsin, 9200 West Wisconsin Avenue, Milwaukee, WI 53226 3522, USA
    Comput Methods Programs Biomed 63:85-97. 2000
    ..This article describes the philosophy, design and implementation of the resource. Ongoing efforts include development of a health information resource tailored to the needs of individual readers...
  16. ncbi A Bayesian network for diagnosis of primary bone tumors
    C E Kahn
    Department of Radiology, Medical College of Wisconsin, Milwaukee 53226, USA
    J Digit Imaging 14:56-7. 2001
    ..Bayesian networks can capture and apply knowledge of primary bone neoplasms. Further testing and refinement of the model are underway...
  17. ncbi Collaborative filtering to improve navigation of large radiology knowledge resources
    Charles E Kahn
    Department of Radiology, Medical College of Wisconsin, 9200 W Wisconsin Ave, Milwaukee, WI, 53226, USA
    J Digit Imaging 18:131-7. 2005
    ..This study sought to determine the impact of collaborative filtering on navigation of a large, Web-based radiology knowledge resource...
  18. ncbi Improving outcomes in radiology: bringing computer-based decision support and education to the point of care
    Charles E Kahn
    Department of Radiology, Medical College of Wisconsin, 9200 W Wisconsin Avenue, Milwaukee, WI 53226, USA
    Acad Radiol 12:409-14. 2005
    ....
  19. ncbi Radiologists' preferences for just-in-time learning
    Charles E Kahn
    Division of Informatics, Department of Radiology, Medical College of Wisconsin, 9200 W Wisconsin Ave, Milwaukee, WI, 53226, USA
    J Digit Imaging 19:202-6. 2006
    ..To assess interest in point-of-care learning, we conducted a survey to explore radiologists' attitudes and preferences regarding the use of just-in-time learning (JITL) in radiology...
  20. ncbi A logistic regression model based on the national mammography database format to aid breast cancer diagnosis
    Jagpreet Chhatwal
    Department of Radiology, University of Wisconsin School of Medicine and Public Health, E3 311 Clinical Science Center, 600 Highland Ave, Madison, WI 53792 3252, USA
    AJR Am J Roentgenol 192:1117-27. 2009
    ..The purpose of our study was to create a breast cancer risk estimation model based on the descriptors of the National Mammography Database using logistic regression that can aid in decision making for the early detection of breast cancer...
  21. ncbi Ontology-assisted analysis of Web queries to determine the knowledge radiologists seek
    Daniel L Rubin
    Department of Radiology, Stanford University, Richard M Lucas Center, 1201 Welch Road, Office P285, Stanford, CA 94305 5488, USA
    J Digit Imaging 24:160-4. 2011
    ..0001). We conclude that RadLex can enable processing and categorization of user queries of Web resources and enable understanding the types of information users seek from radiology knowledge resources on the Web...
  22. ncbi A generalized language for platform-independent structured reporting
    C E Kahn
    Department of Radiology, Medical College of Wisconsin, Milwaukee, USA
    Methods Inf Med 36:163-71. 1997
    ..DRML allows system designers to create a wide variety of clinical reporting applications and survey instruments, and helps overcome some of the limitations seen in earlier structured reporting systems...
  23. ncbi Probabilistic computer model developed from clinical data in national mammography database format to classify mammographic findings
    Elizabeth S Burnside
    Department of Radiology, University of Wisconsin School of Medicine and Public Health, E3 311 Clinical Science Center, 600 Highland Ave, Madison, WI 53792 3252, USA
    Radiology 251:663-72. 2009
    ....
  24. ncbi Informatics in radiology: envisioning the future of e-learning in radiology: an introduction to SCORM
    Njogu Njuguna
    Department of Radiology, Thomas Jefferson University Hospital, Philadelphia, PA, USA
    Radiographics 31:1173-9; discussion 1179-80. 2011
    ..Radiologists can benefit from SCORM by becoming familiar with its features and the opportunities it affords to improve online learning...
  25. ncbi Evidence-based radiology: a primer in reading scientific articles
    Joseph J Budovec
    Department of Radiology, Medical College of Wisconsin, Milwaukee, 53226, USA
    AJR Am J Roentgenol 195:W1-4. 2010
    ..This guide is intended to help individuals read and critically appraise the primary literature and participate more fully in journal clubs and evidence-based radiology...
  26. ncbi Integration of Imaging Signs into RadLex
    Matthew W Shore
    Department of Radiology, Medical College of Wisconsin, 9200 W Wisconsin Ave, Milwaukee, WI, 53226, USA
    J Digit Imaging 25:50-5. 2012
    ..The addition of imaging signs to RadLex augments its use to index the radiology literature, create and interpret clinical radiology reports, and retrieve relevant cases and images...