
A deep learning system for detecting silent brain infarction and predicting stroke risk.
Deep learning detects silent brain infarctions via retinal images, achieving AUCs of 0.901 for incident and 0.769 for recurrent strokes. 🧠📈
Discover the newest research about AI innovations in 🤖 Machine Learning.
Deep learning detects silent brain infarctions via retinal images, achieving AUCs of 0.901 for incident and 0.769 for recurrent strokes. 🧠📈
Deep learning predicts tumor response in large HCC: HTI shows 54.45% ORR vs. 21.65% for HAIC. 📊🧬
AI and AR in dental education enhance skills, improve diagnostics, and offer immersive learning experiences. Significant potential ahead! 🦷🤖
RadNet has acquired See-Mode Technologies to enhance AI capabilities in ultrasound imaging for thyroid and breast health. 📈🩺
Exploring AI in minimally invasive nephrectomy: insights from Guo Q’s letter on augmented reality navigation. 🤖🔍
Health centers collaborate to tackle AI challenges, enhancing care access and operational efficiency. 🤝💡
Exploring AAC innovation: emotional expression, AI integration, and brain-computer interfaces transform communication. 📱💬
AI models outperform traditional methods in GPR101 receptor analysis, revealing critical insights for GPCR modeling. 🤖🔬
“Exploring distinct neuroanatomical subgroups in autism and ADHD through advanced MRI population modeling. 🧠📊”
AI in healthcare boosts efficiency, especially for neurological disorders. New models enhance cost-effectiveness and access. 📈🧠