Health Tech Insights: Expectations for 2025
Health Tech Insights: Expectations for 2025 📊
Anticipation grows for NHS digital health advancements, focusing on data-driven care, integrated systems, and AI innovations. 🏥✨
January 2, 2025
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Discover the newest research about AI innovations in 🧠 Brain-Computer Interfaces.
Eeg based smart emotion recognition using meta heuristic optimization and hybrid deep learning techniques.
This article explores EEG-based emotion recognition using advanced techniques, achieving up to 100% accuracy. 🧠📊
December 13, 2024
AI Surpasses Human Experts in Predicting Neuroscience Study Outcomes
AI outperforms human experts in predicting neuroscience study outcomes, achieving 81% accuracy compared to 63% for humans. 🤖📊
December 2, 2024
AI Models Show Promise in Identifying Brain Tumors
AI models show potential in detecting brain tumors from MRI scans, achieving high accuracy rates. 🤖🧠
December 2, 2024
Optimized robust learning framework based on big data for forecasting cardiovascular crises.
A novel deep learning framework, R-DLH2O, enhances cardiovascular crisis prediction using robust data processing techniques. 📊❤️
November 24, 2024
Wearable EEG Neurofeedback Based-on Machine Learning Algorithms for Children with Autism: A Randomized, Placebo-controlled Study.
Wearable EEG neurofeedback shows promise for improving language and cognitive skills in children with autism. 🤖📈
November 21, 2024
AI Model Quickly Identifies Residual Brain Tumors During Surgery
AI Model Detects Brain Tumors in 10 Seconds 🧠⏱️
FastGlioma improves surgical outcomes by identifying residual tumors more accurately than traditional methods.
November 20, 2024
Partial prior transfer learning based on self-attention CNN for EEG decoding in stroke patients.
New research highlights a self-attention CNN approach for improving EEG decoding in stroke rehabilitation. 🧠💪
November 17, 2024
Design of EEG based thought identification system using EMD & deep neural network.
A novel EEG-based system aids communication for neurological disorder patients, achieving up to 97% accuracy. 🧠💬
November 12, 2024
Human in the collaborative loop: a strategy for integrating human activity recognition and non-invasive brain-machine interfaces to control collaborative robots.
Exploring the integration of human activity recognition and brain-machine interfaces for enhanced human-robot collaboration. 🤖🧠
October 15, 2024