New brain tech turns paralyzed patient’s thoughts into speech with 97% accuracy | This innovation deciphers brain signals when a person attempts to speak, converting them into text, which the computer then vocalizes.

From the article: A new brain-computer interface (BCI) developed at UC Davis Health can translate brain signals into speech with an impressive accuracy of up to 97%—claimed to be the highest accuracy ever achieved by such a system.

The [researchers](https://www.nejm.org/doi/full/10.1056/NEJMoa2314132) implanted sensors in the brain of a man with severe speech impairment caused by amyotrophic lateral sclerosis (ALS). Remarkably, he was able to communicate his thoughts within minutes of using the system.

“Our BCI technology helped a man with paralysis to communicate with friends, families and caregivers,” said David Brandman, UC Davis neurosurgeon and co-senior author of the study. “Our paper demonstrates the most accurate speech neuroprosthesis (device) ever reported.”