Clinical AI needs a higher standard
For 20 years, clinicians have trusted MDCalc because we earned it — with evidence. CrossCover brings that same approach to clinical AI, adding independent checks and safeguards around the AI tools clinicians use.
Clinical AI, held to the standard you’d hold yourself
MDCalc has spent 20 years bringing evidence-based clinical tools to the bedside. CrossCover brings that same rigor to clinical AI, independently checking AI-generated information and surfacing what deserves a closer look before you make the final call.
A letter from our founders
Medicine runs on trust. When AI enters clinical workflows, that trust depends on more than a good model. It depends on safeguards physicians can see, understand, and act on.
We started CrossCover because we believe the people using AI every day should be the ones setting the standard for how it is used.
Drs. Joe Habboushe, Graham Walker & Shazia Siddique
Collaborating with leading AI companies across healthcare
CrossCover is designed to work across the clinical AI ecosystem. We collaborate with AI companies, health systems, clinical organizations, medical publishers, and researchers working to shape the future of clinical AI.
Founded in 2012 by doctors, for doctors, AMBOSS consists of over 100 staff physicians working alongside engineers and designers with one goal: optimizing how medical evidence reaches busy clinicians. AMBOSS Clinical AI is ranked #1 in safety and completeness in both Stanford-Harvard NOHARM studies.
Vera is the leading medical search engine that finds, grades and cites the best available evidence in seconds, used by more than 800,000 clinicians. When you type a question, Vera instantly searches more than 60 million peer-reviewed papers, medical guidelines, drug references, and real-world care pathways.
ECRI is an independent, nonprofit organization improving the safety, quality, and cost-effectiveness of care across all healthcare settings.
The American College of Physicians is the largest medical specialty organization in the United States with members in more than 172 countries worldwide.
Built to Protect Doctors and Patients
We work with leading clinical AI companies to bring independent safeguards to the tools clinicians already use.
Learn more about CrossCover’s safety commitments.
Our Commitments
Safety at the Center
CrossCover includes safeguards designed to detect and redact potential PHI, as well as surface issues that deserve your attention. Built into the experience by default.
Physicians in Control
CrossCover checks, surfaces, and flags — but the judgment and final call always stay with you.
Open & Interoperable
Use the clinical AI you choose. CrossCover works with partner AI models while adding an independent layer of checks and safeguards around their output.
Grounded in Evidence
CrossCover checks AI-generated information against trusted medical references, helping you see where the evidence supports an answer — and where it deserves a closer look. For example, that might mean a nuanced medical topic that deserves extra attention.
Safeguards built around every AI interaction
CrossCover runs independent checks throughout the workflow, helping physicians see what deserves a closer look before they make the final call.
Learn More about CrossCover featuresPHI Scrubbing detects potential identifying patient information and recommends redaction before your query is sent to an AI model.
CrossCheck independently checks AI-generated information against trusted medical references, surfacing where the evidence agrees, where it differs, and where you may want to take another look.
TrackerBlocking limits unnecessary information about you — such as identity, practice setting, or other context — before your query reaches a partner AI model, helping reduce the potential for irrelevant or commercial factors that could influence its response.
When a clinical question may call for an evidence-based clinical tool, CrossCover can surface the appropriate MDCalc tool directly in the workflow, bringing deterministic clinical calculations into a generative AI experience.
