
Forecasting Achievement of Inactive Disease in Juvenile Idiopathic Arthritis with Artificial Intelligence.
AI predicts inactive disease in juvenile idiopathic arthritis: 68 predictors, 414 patients, 0.68 MCC! 🤖📊
Discover the newest research about AI innovations in 📊 Time Series Analysis.
AI predicts inactive disease in juvenile idiopathic arthritis: 68 predictors, 414 patients, 0.68 MCC! 🤖📊
AI enhances laparoscopic surgery insights, analyzing 481 videos to reveal surgeon experience impacts on anatomy visualization. 📊🔍
Automated EEG-based depression detection achieves 98% accuracy using cloud technology and deep learning. 📊🧠
AI-driven crash risk forecasting integrates GEV theory and time series models for real-time safety at intersections. 🚦📊
A recent PubMed article discusses a machine learning model predicting portal vein system thrombosis post-splenectomy in cirrhosis patients. 📊🩺
New health IT tools aim to improve care efficiency and coding accuracy through advanced analytics and automation. 🏥📊
Machine learning models can predict biliary complications and mortality in liver transplant patients. Key findings enhance decision-making. 📊🩺
El Camino Health saves $850K in RN replacement costs through a new management platform, enhancing nurse manager efficiency. 💰👩⚕️
Intrahepatic cholestasis of pregnancy: key risk factors and machine learning models for better diagnosis. 🤰💡
Trump has announced a $500 billion initiative to enhance AI infrastructure in the U.S. 🤖💰