Anthropic and OpenEvidence Team to Expand Reach of Medical AI
Anthropic has reportedly launched a partnership with artificial intelligence (AI)-powered medical search engine provider OpenEvidence. This collaboration is designed to bring AI-driven clinical decisioning help to doctors in places that can’t access the technology, the companies told Reuters Tuesday (Sept. 22). “Access to medical knowledge shouldn’t depend on geography,” OpenEvidence founder…
Anthropic and OpenEvidence have announced a partnership aimed at expanding the reach of AI-driven clinical decision-making tools to doctors in underserved areas worldwide. According to Reuters, the collaboration will provide AI-powered medical search engine OpenEvidence with access to peer-reviewed medical research and treatment guidelines, allowing it to answer physicians' queries for free in over 100 countries, including Angola, Haiti, Mongolia, Sudan, and Uganda.
OpenEvidence founder Daniel Nadler emphasized that access to medical knowledge should not depend on geography.
The program seeks to address the challenges faced by healthcare providers in low and middle-income countries, where limited access to medical literature, specialist expertise, and ongoing medical education can hinder patient care. As healthcare systems globally explore AI to tackle physician/specialist shortages, proponents argue that these tools can assist clinicians in efficiently processing vast amounts of medical information.
However, critics caution that systems primarily trained on data from wealthier nations may not adequately address "local practice conditions."
This announcement follows Reuters' report last week that Anthropic had established a lab focused on utilizing AI for drug development through physical biology research. The Wall Street Journal had previously reported in August that Anthropic believes its healthcare and biology-focused AI endeavors will improve public perception of the technology.
As AI adoption in healthcare continues to grow, PYMNTS Intelligence research indicates that while the sector is employing AI in areas like logistics, customer service demand, workforce planning, and model development, its application is initially targeted at addressing pressing operational challenges rather than pursuing broad enterprise transformation.
Written by urgent.news from PYMNTS's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.