Ebling Librarians & a faculty member from the School of Pharmacy co-authored a paper evaluating the accuracy of OpenEvidence. TLDR: OpenEvidence can make errors when summarizing sources. Just like with any AI tool, researchers should take caution when using it, and double check any of its outputs.🔍
doi.org
Prescribing Caution: A Critique of OpenEvidence to Answer Medication‐Related Questions
OpenEvidence is a newer medical large language model (LLM) that is growing in use among health professionals and students for clinical care and research. This paper provides an overview of existing l...