Gives a Brief account of Arrs Goldminer Image Search Engine

1. A medical image search engine
By
Dr. Sumeer Gul
Aabid Hussain
Sheikh Shueb
Dr. Muzamil Shafi
&
Mahmood-ul-Ajaz

2. Introduction:
 Images form the pillars of diagnosis in the medical world and make the physicians and
patients aware of the conditions they are facing.
 American Roentgen Ray Society (ARRS) in 2007 developed Goldminer without any
commercial Interests.

3. Wilhelm Conrad
Roentgen

4. Features Incorporated:
1. GoldMiner Search
2. Goldminer CME
 Except for ARRS members who log in to access the "CME" function, it does not require or
display any information about the user's identity or personal information.
3. Advanced search
 Concept based searching driven by MESH.
 Search can be limited by all/core journals
4. Top 40 Images
 Most frequently viewed images.
5. Medical Images From A to Z
 Images captioned in alphabetical order of medical concepts.
6. GoldMiner Global
 Interface can be used in 8 world languages.

5. ARRS GoldMiner Overview:
 Image search engine
 Available at goldminer.arrs.org
 Available freely to all.
 “Open access” images.
 Built by and for radiologists/Students and Physicians.
 Powered by a major radiology organization (ARRS).
 Provides access to 535,951 biomedical images published in 857 peer-reviewed journals.
 Combines search strategies
 Keywords (text strings).
 Medical concepts.
 Filters search results
 Age, sex, and imaging modality.

6. Working:
1. In order to perform a search on ARRS GoldMiner, an user has to enter a search
term related to disease, or anatomic feature.
2. All of the images in Gold Miner have English-language captions.
3. GoldMiner learns and understands medical vocabulary like Medical Subject
Heading (MeSH) terms that are mostly used to index the medical literature in
MEDLINE and PubMed.

8. Conclusion:
 The search engine provides an easy to use tool for access to a large pool of images
and their associated articles. Besides this Gold Miner server periodically crawls the
selected web pages to check for updated content.
 Preliminary analysis of Gold Miner’s search results has shown very high precision:
of the images retrieved, 88% included the words or concepts queried.
 Semantic retrieval is missing in the search engine.
 The future aspect of research should be the efficiency measurement of the Gold
Miner using more efficiency checking parameters and inclusion of semantic
retrieval of Images
 ARRS Gold Miner is an important step in building the subject-specific image search
engines and in service of the humanity.

9. THANK YOU