Medical AI: Anthropic expands globally with OpenEvidence
This article was created with the help of artificial intelligence.
Key Takeaways
- Anthropic and OpenEvidence announced a partnership on 22 September 2026 that provides AI-powered clinical decision support free of charge to physicians in around 100 developing and emerging countries, including Uganda, Angola, Sudan, Haiti, and Mongolia.
- The OpenEvidence platform recorded 42 million queries from US physicians in August 2026 in a single month, demonstrating the growing importance of Medical AI in clinical practice.
- OpenEvidence founder Daniel Nadler predicts that by the end of 2026, several hundred million Americans will have been treated by a physician using OpenEvidence to support treatment.
- The initiative specifically addresses health systems in crisis regions such as Sudan, where according to the WHO in April 2026, 37 percent of health facilities were non-functional and 21 million people had no access to medical care.
- Anthropic provides the backend technology, while OpenEvidence handles regional adaptation to account for local disease patterns, diagnostic resources, and available treatments.
AI startup Anthropic and medical knowledge platform OpenEvidence announced a partnership on 22 September 2026 that brings AI-powered clinical decision support to around 100 developing and emerging markets. The platform answers clinical questions from physicians based on scientifically validated medical research and treatment guidelines. The companies did not disclose financial details of the cooperation.
42 million monthly queries demonstrate market potential
Usage figures from the US illustrate the commercial potential of Medical AI: In August 2026, OpenEvidence recorded 42 million queries from US physicians in a single month, according to founder Daniel Nadler. Nadler predicts that by the end of 2026, several hundred million Americans will have been treated by a physician using OpenEvidence to support treatment. The platform is already available free of charge to clinicians in the US and Europe.
Health systems worldwide are examining whether generative AI can address the shortage of physicians and specialists. Supporters argue that AI tools help physicians quickly search through large volumes of medical information. Critics warn, however, that systems trained primarily on data from high-income countries do not reflect local practice conditions – a point the partnership explicitly addresses through regional adaptation.
Technology division and regional adaptation
Anthropic provides the backend technology, while OpenEvidence handles regional adaptation. The companies emphasized that the technology is sufficiently advanced to enable this expansion. However, Anthropic President Daniela Amodei noted that market incentives alone would not have enabled this development without entrepreneurial, philanthropically-oriented work.
OpenEvidence had already begun regional adaptations prior to the comprehensive partnership announcement. In January 2026, the company launched a collaboration in Rwanda with the Rwanda Biomedical Center and nonprofit organization Resolve to Save Lives. 45 Rwandan physicians and nurses tested the system and provided feedback on how it could better reflect local clinical conditions. In 2026, a collaboration with health organizations in Botswana followed to adapt tools for environments where disease patterns, diagnostic resources, and available treatments differ significantly from wealthier countries.
Target regions with severely limited health care access
The initiative targets countries such as Uganda, Angola, Sudan, Haiti, and Mongolia, where access to medical literature, specialists, and continuing medical education is severely limited. The need is particularly acute in crisis regions with massively disrupted health infrastructure.
In Sudan, according to the WHO in April 2026, 37 percent of health facilities in 18 states were non-functional – a consequence of an armed conflict that has been ongoing since April 2023, spanning more than three years. 21 million people had no access to health services, and since the start of the conflict, 217 verified attacks on health facilities have been recorded. Disease outbreaks and malnutrition further increased pressure on the remaining health systems.
In conflict areas in the Middle East, an escalation since February 2026 has resulted in civilian and health worker casualties and injuries, damaged medical facilities, disrupted treatment of injuries and chronic diseases, and obstructed air and sea routes, hampering the supply of medical equipment and humanitarian goods.
Equity principle as business model
OpenEvidence founder Daniel Nadler formulated the core principle of the initiative: "Access to medical knowledge should not depend on geography." This equity principle combines a philanthropic approach with market expansion – a model also observed in other technology companies that first establish free basic versions in underserved markets.
Anthropic expands biology activities in parallel
A week before the OpenEvidence announcement, Reuters reported on 18 September 2026 that Anthropic had set up its own biology lab to conduct physical biology work as part of its AI ambitions in drug research. This expansion occurred against the backdrop of public concerns about AI's growing reach – some executives and lawmakers are calling for a slowdown in AI development.
Anthropic's parallel activities in medical AI infrastructure and biological research suggest a broader strategy to establish a position in the growing health care sector. For investors in the DACH region, the Medical AI segment has so far been primarily accessible through listed health care companies with AI partnerships or specialized healthcare funds, since most leading AI startups like Anthropic are privately funded.