Long waits for autism evaluations are common, especially in rural areas where families must travel to specialty centres. Researchers at the University of Missouri School of Medicine, led by Kristin Sohl, partnered with Cognoa to test CanvasDx, an FDA-approved medical device. CanvasDx uses AI algorithms together with patient data to predict a positive or negative autism diagnosis; when the information is unclear it reports an "indeterminate" result.
The project used the ECHO Autism community, which trains primary care clinicians across Missouri and beyond. The aim was to see whether CanvasDx could support primary care clinicians in places without nearby autism specialty services and increase local access to evaluation.
In the study the average travel distance to specialty care was 97 miles, and keeping care local meant families received a diagnosis 5–7 months earlier. In a group of 80 children the device produced determinate results for 52% and did not give any false positives or false negatives; it never contradicted a clinician's diagnosis.
Difficult words
- evaluation — process to judge or measure a medical conditionevaluations
- specialty — specific area of medical care or practice
- partner — work together with another person or grouppartnered
- algorithm — a set of rules a computer followsalgorithms
- indeterminate — not clearly positive or negative result
- clinician — healthcare professional who treats patientsclinicians, clinician's
- false positive — test result says condition exists but doesn'tfalse positives
Tip: hover, focus or tap highlighted words in the article to see quick definitions while you read or listen.
Discussion questions
- Do you think primary care clinicians should use AI tools like CanvasDx? Why or why not?
- How would receiving a diagnosis 5–7 months earlier change care for a family in a rural area?
- What other challenges might families still face even if local autism evaluations are available?
Related articles
Africa uses AI to strengthen health systems and self-reliance
At the CPHIA conference in Durban, Africa CDC said AI and digital tools can help protect 1.4 billion people, improve surveillance and support primary health care. Data governance, infrastructure and domestic financing are key concerns.
Drug‑resistant Salmonella in children’s food and water in Karamoja
A peer‑reviewed study found drug‑resistant Salmonella in nearly half of food and water consumed by under‑fives in Karamoja. High resistance to azithromycin and other drugs raises health, economic and development concerns.
Iran’s long internet shutdown and new censorship model
Protests in December 2025 and January 2026 caused a near-complete internet shutdown in Iran. Authorities later moved to a white-listed model, and reports and company documents link deep packet inspection tools and a firm called Protei to the controls.