High Accuracy. Clinically Proven.
A Highly Accurate Yes or No
We developed and trained Canvas Dx AI using data of thousands of children from across geographies with diverse backgrounds, presentations, and comorbidities. That’s why Canvas Dx is able to produce a highly accurate diagnostic prediction, helping clinicians efficiently and definitively diagnose or rule out autism in young children with concern for developmental delay.
Shorter Path to Diagnosis
Canvas Dx shortens the diagnostic journey by supporting rapid decision-making during the critical early childhood years of high neuroplasticity when early interventions have the greatest life-changing impact.
Current Real World Device Performance1
Negative for Autism
Negative Predictive Value (NPV): 95%
Positive for Autism
Positive Predictive Value (PPV): 94%
When it doesn’t know, it says so
Canvas Dx deliberately abstains from making a diagnostic prediction when there is insufficient information to provide a highly accurate positive or negative output. This is an important safety mechanism to reduce the risk of false classifications. This means that you can have a high level of confidence in the accuracy of a positive or negative result from Canvas Dx.
Equitable performance overcomes biases
Canvas Dx demonstrates equitable performance across race, ethnicity, socioeconomic status, and geography, thereby tackling existing biases prevalent in autism diagnoses.
“Even when providers or parents suspect autism, the next crucial step of getting to a specialist to confirm the diagnosis is not readily available. Where I work in Mississippi, we only have one or two referral centers in the entire state. To be able to help providers give families the opportunity for an accurate diagnosis, no matter where they are located, is a big deal. With the support of Canvas Dx, we can take the next step from concern to diagnosis. Earlier diagnosis is crucial. Earlier equates to less time worrying and suffering while maximizing the efficacy of interventions, enabling us to improve the outcomes for children and families.”
Rambod Rouhbakhsh, MD, MBA
Principal study investigator & program director at the Forrest General Hospital Family Medicine Residency Program
I’m interested in learning more about Canvas Dx and want to see a demo.
