Cheryl Trigg Discusses UpToDate Enterprise Edition’s Advancements in Clinical Decision Support
Cheryl Trigg highlights UpToDate Enterprise Edition's advancements in clinical decision support, enhancing clinician efficiency and patient care. 🏥📊
Multi-contrast generation and quantitative MRI using a transformer-based framework with RF excitation embeddings.
Revolutionary MRI framework achieves 94% faster scans, utilizing RF excitation data for diverse image contrasts. 🧠📊
Graphnet Health Launches Remote Monitoring Service in Jersey
Graphnet Health introduces remote monitoring in Jersey, aiding elderly care and enhancing health management at home. 📱🏡
Cross-modality fusion of hematology-based digital and molecular biomarkers for intelligent epidemiological screening and surveillance of hepatocellular carcinoma.
Innovative biosensor achieves 99% accuracy in early HCC detection, surpassing GALAD's 83%. Promising for liquid biopsy advancements! 🔬📈
Weekly Health & AI Digest – December 15, 2025
Here are the latest breakthroughs in health & AI (December 15, 2025 week) 🔹 Token-splitting improves GPT-4.1 performance on plastic surgery exams: implications for AI-Assisted medical education. Token-splitting boosts GPT-4.1 accuracy to 92.93% in plastic surgery exams, enhancing AI in...
Token-splitting improves GPT-4.1 performance on plastic surgery exams: implications for AI-Assisted medical education.
Token-splitting boosts GPT-4.1 accuracy to 92.93% in plastic surgery exams, enhancing AI in medical education. 📚🤖
Responsible adoption of multimodal artificial intelligence in health care: promises and challenges.
Exploring multimodal AI in healthcare: promises, challenges, and strategies for equitable patient outcomes. 🤖💉
Deep learning to predict extrapancreatic perineural invasion at CT images.
Deep learning model predicts extrapancreatic perineural invasion in pancreatic cancer with 79.7% accuracy. 📊🤖
Smart and Sustainable: A Global Review of Smart Textiles, IoT Integration, and Human-Centric Design.
Smart textiles integrate IoT for real-time monitoring, enhancing comfort and sustainability in wearables. 🌱📊
An integration of deep learning models for effective classification of human activity patterns in disabled people using gesture analysis.
Revolutionary deep learning model achieves 99% accuracy in human activity recognition for disabled individuals! 🤖📊