• Canary Speech Inc. reported results from a peer-reviewed clinical study accepted for the 2026 Proceedings of Artificial Intelligence in Medicine, with the findings set to be presented as part of that conference publication.
• The study supports a voice-based screening tool that uses about 60 seconds of spontaneous speech to flag risk of depression, anxiety, or both, without relying on the content of what a person says.
• Testing across remote and in-clinic settings indicated the system could identify higher-risk individuals with broadly consistent performance, with an added “uncertain” output intended to reduce the chance of forcing low-confidence results.
• The work positions a single vocal biomarker as a scalable, non-invasive front-end screen that could expand access to earlier behavioral health triage in primary care or telehealth workflows.

Disclaimer: This news brief was created by Public Technologies (PUBT) using generative artificial intelligence. While PUBT strives to provide accurate and timely information, this AI-generated content is for informational purposes only and should not be interpreted as financial, investment, or legal advice. Canary Speech Inc. published the original content used to generate this news brief on May 18, 2026, and is solely responsible for the information contained therein.