OpenEvidence's approach to training AI models is distinct; it does not connect to the public internet, ensuring that the information provided is based solely on vetted medical research. Additionally, OpenEvidence has formed a strategic partnership with the New England Journal of Medicine, which is unique as they typically do not allow AI companies to train on their research.

OpenEvidence addresses the challenge of finding specific medical information by providing a streamlined way for doctors to access relevant studies and data, improving patient care outcomes.

The use of OpenEvidence has already saved lives by helping doctors make better clinical decisions based on accurate medical information.

OpenEvidence allows doctors to drill down to the underlying sources of information, fostering a symbiotic relationship with medical publishers by driving traffic to their journals.

We built OpenEvidence by assembling a team of PhD-level scientists from top institutions, focusing on creating specialized AI models trained on peer-reviewed medical literature.

Open Evidence has the opportunity to aggregate medical knowledge from millions of physicians worldwide, encoding and improving care by leveraging distributed clinical wisdom.

OpenEvidence's platform is freely available to all physicians, leading to widespread organic adoption and strategic partnerships with publishers like the New England Journal of Medicine.

Open Evidence is a medical search platform that has grown to support over 25% of US practicing physicians as monthly active users, with many using it daily for critical information.

OpenEvidence serves not only elite hospitals but also community practices, providing essential medical knowledge to doctors in underserved areas who cannot afford expensive subscriptions.