Discover the newest research about AI innovations in 💉 Rheumatology.
Machine learning enhances SAPHO syndrome vs. secondary bone tumors diagnosis via WBBS: AUC 0.957, accuracy 88.3%. 📊🔍
Exploring real-world evidence in chronic diseases through electronic health records 📊🩺: A detailed analysis of recent findings.
A new study developed a glucocorticoid dose prediction model for lupus patients using machine learning techniques. 🤖💊
Ultrasound plays a vital role in assessing extra-articular manifestations in rheumatic diseases. 🌟 Recent advancements enhance diagnostic accuracy. 🩺
A deep-learning algorithm shows promise in detecting inflammation in MRI scans for axial spondyloarthritis patients. 🤖🩻
Health Tech Insights: Expectations for 2025 📊
Anticipation grows for NHS digital health advancements, focusing on data-driven care, integrated systems, and AI innovations. 🏥✨
MicroRNAs show potential as biomarkers for rheumatoid arthritis, enhancing diagnosis and treatment accuracy. 🦴🔬
A pilot study on automatic nailfold capillaroscopy software shows promising accuracy in diagnosing systemic sclerosis. 🤖💉
AI in rheumatology shows promise for enhancing care, but fellows express concerns about implementation and ethical issues. 🤖💉
AI-driven system aims to enhance early detection of arthritis, improving patient outcomes and reducing healthcare costs. 🤖💉
