LunasAI
Clinical AI infrastructure for evidence-based medicine.
Every answer traced to its source. Coverage policy, peer-reviewed literature, regulatory data — queryable through one interface. Built for physicians and the patients they care for.
Search once. Surface evidence in seconds. Every answer traceable to its primary source.
- Peer-reviewed literature, clinical guidelines, and regulatory data — one query
- Knowledge graph traversal surfaces the path from question to evidence
- Confidence is calibrated. Insufficient evidence is a valid response.
The same evidence your physicians read — in language you can read too.
- Plain-language answers, with links back to the source articles
- Coverage policy and regulatory information for treatments and devices
- Designed to support informed conversations with your care team
Built entirely on public-domain and openly licensed sources — PubMed, CMS Medicare coverage policies, FDA device clearances, and NLM clinical terminologies. No paywalled content. The intelligence is what we build on top.
Evidence is organized through a clinical knowledge graph — concepts, relationships, and provenance. Answers traverse the graph and expose the path from question to source.
Every claim links to its primary source. Strength, consistency, and directness are appraised explicitly. You can read the article behind the answer.
Insufficient evidence is a valid response. When the literature doesn't support an answer, the platform says so. Confidence is surfaced, not hidden.
LunasAI Health is clinical AI infrastructure for evidence-based medicine. It retrieves, appraises, and synthesizes peer-reviewed literature, coverage policy, and regulatory data — grounding every answer in traceable sources.
The platform is built entirely on public-domain and openly licensed sources. This is a deliberate choice: clinical evidence should be accessible globally — to any clinician, researcher, or patient who needs it, regardless of where they practice or where they live. LunasAI takes its name from lunas — a Tagalog word for cure.
Lorenzo Deveza, MD-PhD — Assistant Professor of Orthopaedic Surgery at Baylor College of Medicine, spine and musculoskeletal oncology surgeon, and founder of LunasAI LLC.
Trained at Stanford (MD-PhD, Bioengineering); orthopaedic surgery residency at Baylor College of Medicine; spine surgery fellowship at NYU; orthopaedic oncology fellowship at Memorial Sloan Kettering.
Contact: lorenzo@lunasai.health
LunasAI's mission is to make the full depth of clinical evidence — peer-reviewed literature, diagnostic coding, and payer coverage — queryable, traceable, and honest about uncertainty.
The specialty proving ground for the underlying platform — the first vertical, weighted toward musculoskeletal medicine. Currently used in clinical practice at Baylor College of Medicine.
Visit ortholunas.com →