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Prateek Dasgupta
California Researchers Help Stroke Patient Speak Again Using AI & Brain Implants
2023-08-29
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In a remarkable breakthrough, Ann Johnson, who suffered a debilitating stroke 18 years ago, has regained the ability to communicate verbally through a digital avatar, thanks to a brain implant and artificial intelligence.
A study published in the journal Nature details how a team of researchers from California implanted electrodes on Ann's brain surface to transmit her brain activity to computers. A.I. algorithms then translate these signals into words, which are spoken by an on-screen avatar that also conveys her emotions through facial expressions.
Edward Chang, a co-author of the study and neurosurgeon at the University of California, San Francisco (UCSF), expressed his amazement at the real-time success of the technology.
There’s nothing that can convey how satisfying it is to see something like this actually work in real time- Edward Chang, Neurosurgeon, UCSF
The implant's improved interface, which Ann used, enables her to produce 78 words per minute, a significant jump from her previous device's output of 14 words per minute.
The device achieved about 75 percent accuracy in deciphering her intended speech. You can watch her speak below.
The breakthrough builds upon a previous experiment, with 253 electrodes strategically placed over brain regions vital for communication.
The signals from these regions are translated by A.I. into individual phonemes, which are then combined to form words. The digital avatar, modeled after Ann's appearance and voice, emotionally engages with her speech, further enhancing the communication experience.
Ann's dedication to training with the interface played a crucial role in refining the technology.
The research team behind the study, composed of neuroscientists, neurosurgeons, and electrical engineers, envision a future where these advancements could lead to FDA-approved communication systems for patients with paralysis.
Although the technology is promising, experts emphasize the need for further testing and development before broad generalizability to larger populations can be ensured.
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