Scientists from Emory University<\/b> and the Georgia Institute of Technology (Georgia Tech)<\/b> have developed a Brain-Computer Interface (BCI)<\/b> that uses artificial intelligence to restore communication abilities to paralyzed patients. The new system translates electrical brain activity into text and speech with 96% accuracy<\/b>.<\/p>\n
The research primarily focuses on patients who are unable to speak due to Amyotrophic Lateral Sclerosis (ALS)<\/b>, spinal cord injuries, or strokes. Surgeons implant ultra-small $3 \\times 3$<\/span> mm sensors just 1 millimeter deep into the patient’s brain. When a patient attempts to speak, these sensors detect brain signals, and specialized AI algorithms<\/b> transform them into sentences displayed on a screen. According to the scientists, the system’s accuracy currently ranges between 90% and 96%, allowing patients to compose full messages.<\/p>\n While the technology is based on the concept of “mind-reading,” researchers emphasize the full protection of patient privacy<\/b>. The device only captures thoughts that the patient intends to communicate and does not read their internal, private monologue.<\/p>\n Dr. Nicholas Au Yong, a neurosurgeon at Emory University, explains that the technology restores independence to individuals who have fully preserved cognitive functions but are physically unable to interact with the world.<\/p>\n Dr. Chethan Pandarinath, an Associate Professor at Georgia Tech, notes that in the future, this technology could function as a universal translator<\/b>. He states that the system’s concept works identically regardless of whether the language is English, Spanish, or Chinese. While achieving perfect 100% accuracy remains the primary target, current results are already sufficient to radically improve the quality of life for patients.<\/p>\n