Skip to main content

Welcome to Darnall Medical Library: Literature Informatics

Providing quality information and services to support the readiness and care of the Uniformed Services and their families.

Literature Informatics

Literature Informatics Initiative helps WRNMMC researchers to navigate the research information ecosystem for the research hypothesis development. 

Literature informatics is analysis of multidisciplinary published literature for the scientific discovery, information gathering, processing and management, and information synthesis to enhance scientific inquiry and accelerate scientific discoveries. 

If you have questions about the literature search for conduction of the research studies, information gathering, information processing and management, and information synthesis for writing scientific articles, contact Dr. Tmanova for consultation. 

To request a consultation on hypothesis-driven analysis of published literature for research studies, please submit the Literature Informatics request. 

Contemporary Literature Search Engines

An exponential publication of research studies resulted in accumulation of academic information challenging the discovery of research information from literature search databases, journals, and search engines. Traditional literature search engines are based on keywords and controlled vocabulary rather than on concepts and words meaning.

New generation literature search engines use Artificial Intelligence (AI), Machine Learning (ML), machine vision, semantic and textual analysis. These search engines use AI and semantic technologies to discover meaningful information for efficient access to knowledge in the heterogeneous informational environments. Semantic search engines use full-text indexing, smart filters, citation generation, exploration of the relevant concepts, creating search alerts, harvest articles in databases and the web, and ranking algorithms to understand the knowledge and information from abundant pools of literature. The GoldMiner, Radiopedia, Yottalook, SearchingRadiology.com, Semantic Scholar, and Microsoft Academic are next generation search engines used for literature search in radiology, science, and medicine.

  • GoldMiner - radiology search image engine that provides a rapid access to radiology images from peer-reviewed journals from PubMed.
  • Radiopedia - educational collaborative wiki-based resources of articles, radiology images, and clinical cases.
  • Yottalook - radiology image search engine developed for radiologists for radiology-specific searches.
  • SearchingRadiology.com - search engine for peer-reviewed information at the point of care.
  • Semantic Scholar - AI-based literature search engine of peer-reviewed research in medicine, computer science, and other fields.
  • Microsoft Academic - literature search engine for scientific literature in various fields.
  • Semantic MedLine - used to identify conceptual network of research publications that is based on the semantic predication from PubMed search. 
  • Coremine - analyzes literature using relational networks of topics obtained through term clustering. 
  • Nextbio - identifies concepts associated with the search query.  

Darnall Medical Library | Walter Reed NMMC | Building 1, Room 3458 | 8955 Wood Road | Bethesda, MD 20889 | 301-295-1184/85 | Open Monday-Friday, 0700-1730

After-hours access to the library is available to WRNMMC Staff via the CDO at 301-295-4611.