Discover the newest research about AI innovations in 🧠 Neuroscience.
AI models enhance stroke prediction accuracy. 🤖 Early detection can prevent severe outcomes. 🩺 Review of recent findings. 📊
Machine learning reveals visual field recovery in optic neuritis, despite retinal ganglion cell thinning. 🧠👁️
We reviewed a study on ComBat’s effectiveness in harmonizing MRI data across sites. Results show improved data reliability. 🧠📊
New research explores EEG data for predicting traits like biological age. Promising methods enhance accuracy in neuroscience. 🧠📊
New method detects Parkinson’s disease through emotional response analysis. Near-perfect accuracy achieved using brain scan data. 🧠📊
Exploring AI’s role in pediatric surgery. 🤖👶 We reviewed the article by Aliyeva A. for insights.
Philips and Mayo Clinic collaborate to improve cardiac MRI using AI, enhancing efficiency and patient experience. 🫀🤖
A recent PubMed article compares spiral and line drawings for recognizing Parkinson’s and cerebellar symptoms. 🧠✍️
New tools for predicting outcomes in hypoxic-ischemic encephalopathy post-cardiac arrest are crucial for informed decision-making. 🧠💔
AI outperforms human experts in predicting neuroscience study outcomes, achieving 81% accuracy compared to 63% for humans. 🤖📊
