Library resources are regularly adding AI features into their platforms. These features aid in searching, finding, and accessing information. The upside of this type of AI is that these resources are built on high quality, validated, and most often peer reviewed publications. Explore the list below to see how you can use these databases and citation managers to help with your research and writing.

TRIP

TRIP is a medical database that aims to help individuals find high quality clinical research evidence. New to this database is AskTrip. This feature utilizes AI and LLMs to deliver answers.

How it works:

Ask a question using natural language. Such as: What is the effect of Ozempic on skeletal muscle?
AI identifies key clinical components and searches TRIP
The system takes the top 125 results, ranks those based on relevance, and synthesizes the information.
You receive an answer with REAL citations.

PubMed

If you are familiar with PubMed, you may think that this resource does not have AI features. You are correct, however, PubMed utilizes automatic

term mapping when you conduct a search. This AI-like smart searching component maximizes your search terms so that you can find relevant information.

How it works:

Enter your terms in plain language. Do not use and wildcards or boolean logic (AND, OR, NOT).
PubMed will match your terms against a Subject translation table, Journals translation table, Author index, or Investigator index. This matching allows PubMed to add Medical Subject Headings, plural word forms, alternate spellings, drug brand names and generic names, and much more to your search.

Covidence

Covidence is an online tool that streamlines the production of systematic reviews and other literature-intensive research projects. It coordinates the screening process and facilitates the creation of data extraction forms and risk of bias tables. Covidence recently introduced a machine learning model developed by EPPI-Centre. This model is geared to further streamline the screening process of your review.

How it Works:

When you are ready to complete the Title/Abstract screening of the results, sort studies by "Most relevant".
Covidence analyses patterns in your screening behavior to order the relevancy of the upcoming studies. For this to work at least 25 studies must be marked as included or excluded.

Covidence image indicating how machine learning speeds up the review process.

EndNote 2025

EndNote 2025 (a freely available citation manager for the Academic Health Center and CCHMC) features many new components that utilize AI to improve the organization, writing, and citing of your references.

EndNote 2025 offers:

Key Takeaway: this generative AI tool extracts key points from individual papers.
Find a Journal: available in the Cite While your Write plugin, this machine learning tool helps with locating a journal in which to publish while you write.

There are many other new features that are available in the latest addition that improve the writing process.

When PDFs of articles are found and attached to the EndNote entry, you can utilize the Key Takeaway feature.

OpenEvidence

Screenshot of an OpenEvidence question and response.

While not a true library resource it does use a number of high quality journals to which the library subscribes. As described on its website, "OpenEvidence is an AI copilot for doctors that helps them make high-stakes decisions at the point of care."

How it works:

Enter your prompt in the search bar.
OpenEvidence will answer your prompt/question and provide citations.

Please note: while OpenEvidence does pull information from NEJM, Lancet, and other high quality resources, the information provided is not comprehensive, may not be the most recent and should be critically appraised. Be sure to verify the information with a search in at least one additional database (PubMed, TRIP, etc).