Discover the newest research about AI innovations in π§ Brain-Computer Interfaces.
A comprehensive geodatabase reveals insights on cardiovascular health and environmental factors in Mashhad, Iran. πβ€οΈπ
Health Tech Insights: Expectations for 2025 π
Anticipation grows for NHS digital health advancements, focusing on data-driven care, integrated systems, and AI innovations. π₯β¨
This article explores EEG-based emotion recognition using advanced techniques, achieving up to 100% accuracy. π§ π
AI outperforms human experts in predicting neuroscience study outcomes, achieving 81% accuracy compared to 63% for humans. π€π
AI models show potential in detecting brain tumors from MRI scans, achieving high accuracy rates. π€π§
A novel deep learning framework, R-DLH2O, enhances cardiovascular crisis prediction using robust data processing techniques. πβ€οΈ
Wearable EEG neurofeedback shows promise for improving language and cognitive skills in children with autism. π€π
AI Model Detects Brain Tumors in 10 Seconds π§ β±οΈ
FastGlioma improves surgical outcomes by identifying residual tumors more accurately than traditional methods.
New research highlights a self-attention CNN approach for improving EEG decoding in stroke rehabilitation. π§ πͺ
A novel EEG-based system aids communication for neurological disorder patients, achieving up to 97% accuracy. π§ π¬
