BioMed Central, the open access publisher of peer-reviewed biomedical research has contributed over 170 journals, adding over 4,200 images to the GoldMiner™ collection. The collection now numbers over 170,000 images and over 225 journals.
“GoldMiner™ speeds your search for radiology images by quickly matching search criteria with peer-reviewed content available on the Web,” said Charles E. Kahn, Jr., MD, a creator of GoldMiner™. “By limiting results to images from respected, peer-reviewed journals, you won’t spend a lot of time sifting through thousands of unrelated images or images from unknown sources. You can save more time by filtering by imaging modality, patient age and gender,” said Dr. Kahn
Come cercare? Il database ha indicizzato le immagini usando la terminologia medica (in particolare l’Unified Medical Language System (UMLS®) Metathesaurus®) e i MeSH.
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.