Article
AI for Cancer Care
Making World-Class Expertise More Accessible
Scribes are great. Who doesn’t love a good note taker?
But what if we used AI for something bigger – like making clinical expertise more abundant and accessible, to deliver fast and accurate patient recommendations?
That’s our goal at Color.
Cancer in many ways is a battle against time.
Speed to treatment following diagnosis is critically important. Every month delay in treatment for a cancer patient correlates to a 6-13% higher risk of mortality.1
What if AI could shrink this timeline?
Cancer is also a battle for resources.
Not everyone has access to a world-renowned cancer center. Less than 1/3rd of the US population lives within a 60 minute commute of a National Cancer Institute (NCI) cancer center.2
What if AI could make world-renowned expertise available anywhere, at any time?
So we built a clinical tool that extends cancer expertise and speeds time to treatment:
the Color Cancer Copilot.
Copilot combines the power of large language models (LLMs), structured knowledge bases built on cancer guidelines, and a streamlined interface to help clinicians efficiently review patient records and identify treatment workup gaps — all while maintaining a high level of accuracy.
Closes gaps in Care
>95% accuracy in assessing treatment workup gaps
Full transparency
Clinician intervention throughout – transparent tech
Reduces workload
Copilot takes a ~2 hour task down to ~10 minutes
Actionable results
Can be accessed and used by general clinicians
With a track record of applying leading edge technology to Cancer Care (see: the world’s first Virtual Cancer Clinic), we believe AI can do so much more than capture notes and optimize billing codes –
we believe it can save lives by making world-class expertise exponentially abundant.
More about Cancer Copilot
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