Interview: How voice AI will change neuro diagnosis

Link to the NR Times Article here.

Canary Speech has achieved a remarkable 96% accuracy in detecting early signs of Huntington’s disease. The company aims to utilize its technology to detect the initial symptoms of neurological conditions such as Parkinson’s, Huntington’s, and Alzheimer’s diseases. By analyzing speech patterns and subtle cues, the platform can identify changes in voice and language that occur during the early stages of diseases. Canary Speech’s advanced AI and natural language processing technology allow it to analyze 12 to 15 million data points every minute, providing real-time insights on conditions like anxiety, depression, and stress.

In a recent study conducted by the Beth Israel Deaconess Medical Centre at Harvard Medical School, the platform demonstrated 96% accuracy in identifying the transition from manifest to pre-manifest Huntington’s Disease, surpassing the accuracy of neurologists’ diagnoses by 40%. Canary Speech’s innovative approach has the potential to revolutionize neurological condition diagnosis, improve treatment accuracy, and facilitate research advancements in the coming years.

“There have been periods of time where we have had surges of technology,” co-founder and CEO Henry O’Connell said. “No one knows without the perspective of looking backwards, but I believe we’ve entered one. I believe that AI and tools like this are going to make us better. It’s going to elevate us to that next level of accuracy and treatment. I believe we’re going to look back and say to ourselves, maybe this was the most exciting 10 years we’ve ever seen.”