MDCalc

MeetCrossCover by MDCalc

Before you act on an AI answer, CrossCover it: independently check the evidence, assumptions and uncertainty behind clinical AI output, then make the final call.

A clinician asks a partner AI a question in CrossCover and reviews the evidence behind its answer.

What is CrossCover?

AI can give a convincing clinical answer and still get something important wrong.

CrossCover sits between you and the clinical AI you use, adding an independent layer of scrutiny around its output and surfacing what deserves your attention. You stay in control of the final clinical judgment.

01.

Use the clinical AI you choose

Work with partner AI models through CrossCover to ask your clinical question.

A clinical question in CrossCover with six patient identifiers marked for removal, ready to send to Amboss or Vera Health.

02.

Review the answer and its evidence

See supporting sources, assumptions and potential issues.

CrossCover flags an AI answer whose cardiac event rate is reported over a different time window in its sources.

03.

Make the final call

Use CrossCover’s analysis alongside your clinical expertise.

Physicians above an answer from Amboss, secured by CrossCover, summarizing its key clinical points.
CrossCover

CrossCover Charter Physician Program

Help Set the Standard for Clinical AI

Join a founding group of physicians helping shape CrossCover before its broader release. Get early access, weigh in on real product and safety decisions, and help define what physicians should expect from AI in clinical practice.

Become a Charter Physician

Founding Charter Physicians

Graham Walker, MD
Joe Habboushe, MD
Shazia Siddique, MD

US physicians can currently test CrossCover. International physicians can register interest; product access is not currently available internationally.