
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! π€π
Discover the newest research about AI innovations in π Time Series Analysis.

AI predicts inactive disease in juvenile idiopathic arthritis: 68 predictors, 414 patients, 0.68 MCC! π€π

AI enhances laparoscopic surgery insights, analyzing 481 videos to reveal surgeon experience impacts on anatomy visualization. ππ

Automated EEG-based depression detection achieves 98% accuracy using cloud technology and deep learning. ππ§

AI-driven crash risk forecasting integrates GEV theory and time series models for real-time safety at intersections. π¦π

A recent PubMed article discusses a machine learning model predicting portal vein system thrombosis post-splenectomy in cirrhosis patients. ππ©Ί

New health IT tools aim to improve care efficiency and coding accuracy through advanced analytics and automation. π₯π

Machine learning models can predict biliary complications and mortality in liver transplant patients. Key findings enhance decision-making. ππ©Ί

El Camino Health saves $850K in RN replacement costs through a new management platform, enhancing nurse manager efficiency. π°π©ββοΈ

Intrahepatic cholestasis of pregnancy: key risk factors and machine learning models for better diagnosis. π€°π‘

Trump has announced a $500 billion initiative to enhance AI infrastructure in the U.S. π€π°