Embase AI

What Embase AI is

Embase AI uses natural-language search to help biomedical researchers find literature in Embase, a database that the product page says contains 47 million high-quality records. It summarizes findings from the 30 most relevant peer-reviewed articles and links summaries to relevant papers. Users can filter by publication year, publication type and study type, or broaden searches to include preprints, conference abstracts, ClinicalTrials.gov studies, and articles in press or in process. References are ranked through term-based retrieval followed by neural semantic ranking. Searchers can inspect the query generated by the AI, copy it, or open results in Embase to refine it. Follow-up questions and session export help continue work and keep a record. Elsevier says information is not stored in the LLM or used for training. It presents Embase AI for biomedical research, including pharma, medtech, university and library users. The product is paid, has a three-day trial, and does not list a plan price; prospective customers can request a demo. Listed platforms are Android, iOS, macOS, web and Windows.