Development of a machine learning-based predictive nomogram for screening children with juvenile idiopathic arthritis: a pseudo-longitudinal study of 223,195 children in the United States.
June 14, 2025Machine learning predicts juvenile idiopathic arthritis in children: 223,195 analyzed, AUC up to 0.9130! 📊🤖
Shift Towards Digital and Community Care in NHS, According to Wes Streeting
June 14, 2025NHS plans to shift care from hospitals to digital and community settings, emphasizing technology and AI integration. 📱🏥
Interpretable deep learning for gastric cancer detection: a fusion of AI architectures and explainability analysis.
June 14, 2025Innovative AI fusion boosts gastric cancer detection accuracy to 97.8% 📈, enhancing clinical trust with explainable insights! 🩺
Alzheimer’s Society Accelerator Chooses Two Innovations for Dementia Care
June 13, 2025Alzheimer’s Society Accelerator selects Neu Health and Hydro Care for dementia care innovations. 📱💧 Both aim to improve patient monitoring and hydration.
Impact of a deep-learning image reconstruction algorithm on image quality and detection of solid lung lesions.
June 13, 2025Deep-learning algorithms enhance lung lesion detection in CT scans, improving image quality significantly. 📈🩻
Enhanced Error Detection in Radiology Reports Using Fine-Tuned LLMs
June 13, 2025Fine-tuned LLMs improve error detection in radiology reports, enhancing patient care and reducing cognitive load for radiologists. 🩻📊
Knowledge Graph-Enhanced Deep Learning Model (H-SYSTEM) for Hypertensive Intracerebral Hemorrhage: Model Development and Validation.
June 13, 2025AI-Driven H-SYSTEM Achieves 94.87% Accuracy in Hypertensive Intracerebral Hemorrhage Diagnosis 🧠📊
Joint Commission and CHAI Collaborate on AI Best Practices for Healthcare
June 13, 2025Joint Commission collaborates with CHAI to establish AI best practices in healthcare. Guidance expected by fall 2025. 🤖🏥
Recommendations for Successful Development and Implementation of Digital Health Technology Tools.
June 13, 2025Digital health tools can transform care delivery. Key recommendations include interdisciplinary teams, patient feedback, and ethical considerations. 📊💡