Innovator
Award Winner

Catch cancer earlier by getting more patients screened.

AI nurse agents that find, engage, and navigate eligible patients into cancer screening.

Book a demo Watch the 2-min demo →

HIPAA-ready Built on shared decision-making workflows Works inside your EHR

Artemis · Priority Queue — Lung Screening

Maria C. · 64F

Smoking hx, pack-yrs unquantified · LDCT overdue

Tier B9.2

James W. · 71M

BP uncontrolled · ED risk high

Tier A9.6

Patricia B. · 63F

Former smoker 28yr · no LDCT

Tier B8.5

Robert J. · 73M

AFib on warfarin · INR subtherapeutic

Tier A9.4

Donald H. · 73M

Smoking hx · pack-yrs unconfirmed

Tier B8.1

Why it matters

Lung cancer kills the most, yet screening reaches the fewest.

The clinical opportunity is enormous — and almost entirely untapped. Most eligible patients are never even identified.

cause of cancer death in the U.S. — more than breast, colorectal, and prostate combined.

19%

of eligible patients get screened, versus ~75% for breast and colorectal cancer.

20+

pack-years needed to qualify — and that history hides in unstructured chart notes.

Lung screening programs have grown from 200 to 4,000 over the past decade — but uptake still lags far behind every other cancer.

The solution

Meet Maya — your AI patient navigator.

Maya works the whole front of the funnel, so your nurse navigators don't have to do it by hand.

Finds the hidden eligibleReads structured and unstructured records to surface smoking history buried in notes.
Engages patients directlyReaches out by call, text, or email — on each patient's preferred channel.
Completes shared decision-makingWalks patients through the conversation and books the scan.
Zero added physician clicksRuns alongside your team and EHR — no new system to log into.

20×

more patients reached vs. status quo

added clicks for your physicians

How it works

From buried in the chart to scanned and followed up.

Artemis runs every step that patients fall out of today — and keeps them moving forward.

Identify

Surface eligible patients hiding in structured and unstructured records.

Engage

Reach out and confirm interest on the patient's preferred channel.

Decide

Guide patients through shared decision-making, ready for the visit.

Scan

Book the low-dose CT and keep the appointment from slipping.

Follow up

Close the loop on findings so nothing falls through the cracks.

Today, roughly 75% of eligible patients are never even identified. Artemis is built to close that gap.

See it live

Watch Artemis in action

A two-minute walkthrough of how Maya finds, reaches, and navigates patients into screening.

Try the interactive demo →

Working with leading care teams

I strongly advocate for some automated, agentic approach — because the human way of doing this is pure madness.

— ED Director, Stanford Health Care

My medical assistant would kill for this. Take the calls, the pre-screening, the scheduling all off her.

— Program Manager, national health system

The one thing I'd most want to solve? How we get people to document tobacco use.

— Program Manager, regional health system

Who we are

A team built for this

Medical, operations, and AI expertise — shipping fast and deploying inside health systems.

Alex Thury, MD

Co-founder & CEO

Physician-turned-founder. Scaled a diagnostics company past $30M in revenue.

Sergio Mavridis

Co-founder & COO

Go-to-market and operations. Ex-McKinsey, with a decade of execution experience.

Anjani Pangal

Co-founder & CTO

Biomedical data science. Builds the data and AI layer that powers Maya.

Advisors

Bobby Mukherjee

3× founder · Loka · Healthcare AI

Dev Dash

ED Director · AI Implementation, Stanford

See how Artemis can lift your screening rates.

Book a 30-minute demo and we'll walk through how Maya works inside your screening program.

Book a demo

or email us at hello@getartemishealth.com