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Key Takeaways: A UCSF-developed AI system now decodes brain activity into text with 97% accuracy, offering hope for patients who’ve lost speech. The technology, tested in epilepsy patients, uses existing brain implants to translate neural patterns into words in real-time. Challenges remain, including personalizing models for individual users and reducing error rates before clinical use. Scientists at the University of California at San Francisco (USCF) have taken another step toward translating brain activity into words, which would allow patients who can no longer speak to communicate again. Many diseases can deprive patients of speech, despite intact brain capacity. To help
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