GoldMiner Search

    ARRS GoldMiner® provides instant access to 481,896 biomedical images published in 742 selected peer-reviewed journals. You can search by findings, anatomy, imaging technique, and patient age and sex.

    Our Mission and Ethical Principles

    ARRS GoldMiner® helps users find images and articles from peer-reviewed biomedical journals. Although intended primarily for health professionals and students, it is available to all users without charge. Information provided is meant to complement and not replace any advice or information from a health professional.

    Except for ARRS members who log in to access the "CME" function, this site does not require or display any information about the user's identity or personal information.

    All information comes from selected, peer-reviewed biomedical journals. Information on the site is updated at least monthly, as new articles and images are added to our database. The source of each image and article is clearly identified, and the links point to information at the original source's web site.

    ARRS GoldMiner® is supported by the American Roentgen Ray Society (ARRS), a non-profit medical professional organization. We accept no advertising or commercial support.

    How ARRS GoldMiner® Works

    Unlike most internet search engines, ARRS GoldMiner® understands medical vocabulary. It uses sophisticated techniques from the U.S. National Library of Medicine (part of NIH) to discover medical concepts in free-text figure captions, and uses that information to quickly retrieve relevant images. GoldMiner® incorporates standardized vocabularies, such as the Medical Subject Heading (MeSH) terms, which are used to index the medical literature in MEDLINE and PubMed.

    ARRS GoldMiner® recognizes abbreviations, synonyms, and kinds of diseases. Not only does it know that "renal calculi" and "kidney stones" mean the same thing, it knows that renal calculi are a type of kidney disease.

    GoldMiner searches by both concepts and keywords. As a result, searches for "renal calculi" and "kidney stones" won't find exactly the same entries. If a figure caption says "stones are seen in the kidney", the words "stones" and "kidney" will be indexed, but not necessarily the concept of kidney stones / renal calculi.

    As with a conventional search engine, GoldMiner's search results can depend on the presence of specific words in the figure captions.

    Using ARRS GoldMiner®

    To find images, enter a search term that describes a disease, imaging finding, or anatomic feature.

    You can filter the search results by imaging modality (e.g., "CT"), age, and/or sex - just click on the pull-down menus in the grey bar at the top of the search results page. The selections will indicate the number of images for each selection.

    Click on the small "thumbnail" image to open a full-size image on the original journal's web site. You can link to the full text of the article as well - just click on the article's name.

    Earning CME Credit

    The American Roentgen Ray Society (ARRS) is accredited by the Accreditation Council on Continuing Medical Education (ACCME) to provide continuing medical education for physicians. With your ARRS membership, your GoldMiner research can be claimed for continuing medical education (CME) credit.

    Earning CME credit is as simple as...

    1. Search for a term on GoldMiner
    2. Review articles and figures presented from your search
    3. Claim CME credit by completing a short questionnaire within GoldMiner CME (requires authentication with ARRS credentials)

    The ARRS designates this Internet Point-of-Care CME activity for a maximum of 0.5 AMA PRA Category 1 Credit(s)™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.

    It is the responsibility and professional duty of physicians to record their CME credits fairly and honestly. The American Medical Association has determined that physicians not licensed in the U.S. who participate in this CME activity are eligible for AMA PRA Category 1 Credit™. For the purposes of obtaining an AMA Physician's Recognition Award, physicians may claim up to twenty (20) AMA PRA Category 1 Credit(s)™ per year for this activity.

    Vocabularies

    ARRS GoldMiner uses the Unified Medical Language System (UMLS®) Metathesaurus® from the U.S. National Library of Medicine.

    This material includes SNOMED Clinical Terms® (SNOMED CT®) which is used by permission of the International Health Terminology Standards Development Organisation (IHTSDO). All rights reserved. SNOMED CT®, was originally created by The College of American Pathologists. "SNOMED" and "SNOMED CT" are registered trademarks of the IHTSDO.

    The ARRS GoldMiner® Team

    Editor

    • Charles E. Kahn, Jr., MD, MS

    ARRS e-Learning Committee

    • Puneet Bhargava, MBBS, MD
    • Michael A. Bruno, MD
    • Charles E. Kahn, Jr., MD, MS
    • Aswin K. Krishnamoorthy, MD
    • John S. Pellerito, MD
    • Michael L. Richardson, MD
    • Daniel L. Rubin, MD, MS
    • Elliot K. Fishman, MD, Chair

    ARRS Staff

    • John Finney

    Publications

    1. A digital library of radiology images. AMIA Annual Symposium Proceedings 2006; 972. [Full Text] [PDF]
    2. GoldMiner: a radiology image search engine. AJR 2007; 188:1475-1478. [Full Text] [PDF]
    3. Effective metadata discovery for dynamic filtering of queries to a radiology image search engine. Journal of Digital Imaging 2008; 21:269-273. [Full Text] [PDF]
    4. Dynamic "inline" images: Context-sensitive retrieval and integration of images into web documents. Journal of Digital Imaging 2008; 21:274-279. [Full Text] [PDF]
    5. A multilingual image search engine. AMIA Annual Symposium Proceedings 2008; 995. [PubMed: 18998789]
    6. Multilingual retrieval of radiology images. RadioGraphics 2009; 29:23-29. [Full Text] [PDF]
    7. Automated semantic indexing of figure captions to improve radiology image retrieval. Journal of the American Medical Informatics Association 2009; 16:380-386. [Full Text] [PDF]
    8. Ontology-assisted analysis of web queries to determine the knowledge radiologists seek. Journal of Digital Imaging 2011; 24:160-164. [Full Text] [PDF]

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    Last modified on 19 June 2014.
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