The Phillip Capozzi, MD Library has begun a sitewide trial of Consensus through October 2026. To take advantage of the trial, please create a Consensus account using your verified NYMC domain email address here: https://consensus.app/. Please let us know if you have any issue setting up your account using our Ask A Librarian service.
Consensus is an Al-powered search engine that finds, analyzes, and summarizes peer-reviewed research. Some things Consensus does:
- Provides both natural language conversational and structured search querying options;
- Summarizes key findings across research papers relevant to your query;
- Creates a visual a Consensus Meter to yes/no questions showing overall agreement across identified studies;
- Structures output in plain text, bullet points, and summary tables;
- Offers direct links to full papers for further reading and citation;
- Facilitates one-click exports and citations for syllabi, presentations, or proposals.
The institutional trial will provide users with unlimited “Pro” searches and up to 50 “Deep” searches per user per month.
Consensus is a user-friendly and well-constructed AI tool which has promise for answering clinical and academic questions. It’s multidisciplinary and can provide information synthesized from over 220 million journal articles, pre-prints and conference proceedings. It is based upon the Semantic Scholar and Open Alex corpuses as well as having created publisher partnerships for full-text paywalled articles.
As an end user, be aware that this is a new generative AI tool, and as always output should be critically evaluated and not taken at face value. All users are individually responsible for any use of any generative AI tool in their decision making. Use of AI does not negate the need to know how to read and critically appraise research studies.
See this helpful guide to Using Consensus for Faculty (which is applicable to all users).