NHS Hospitals Implement AI Tool to Anticipate A&E Demand
NHS hospitals in England are using an AI tool to predict A&E demand, improving patient care and resource management. 🏥🤖
10 Ways to Improve Your Use of Artificial Intelligence in Inborn Errors of Immunity.
Exploring AI's role in inborn errors of immunity: 10 actionable strategies for enhanced diagnosis and treatment. 🤖💉
Precision and safety advantages of ultrasound-guided nerve blocks in geriatric anesthesia: current status and future prospects.
Ultrasound-guided nerve blocks enhance geriatric anesthesia precision, reduce complications, and support ERAS protocols. 📈💉
Non-healthcare and healthcare professionals’ attitudes towards behaviors of anorexia: A qualitative analysis of Chinese social media content.
Exploring attitudes on anorexia in China: 1,099 comments analyzed reveal healthcare gaps. 📊🧠
Factors associated with the experience of AI tools for creating health education materials: cross-sectional study using an extended UTAUT model.
AI tools in health education: 45.4% of medical students use them. Key factors: social influence, facilitating conditions, and training. 📚🤖
Weekly Health & AI Digest – January 05, 2026
Here are the latest breakthroughs in health & AI (January 05, 2026 week) 🔹 Characterizing immune cell profiles of patients with rheumatoid arthritis in Taiwan using artificial intelligence-based cytometric approaches. AI identifies 16 immune cell subsets in rheumatoid arthritis with...
Characterizing immune cell profiles of patients with rheumatoid arthritis in Taiwan using artificial intelligence-based cytometric approaches.
AI identifies 16 immune cell subsets in rheumatoid arthritis with 100% sensitivity and specificity. Key findings on immune responses. 🧬🔬
Large Language Model-Based Virtual Patient Systems for History-Taking in Medical Education: Comprehensive Systematic Review.
Exploring LLMs in Medical Education: 39 studies reveal strong performance but limited multimorbidity representation. 📊🤖
Developing ultrasound-based machine learning models for accurate differentiation between sclerosing adenosis and invasive ductal carcinoma.
Machine learning enhances ultrasound accuracy in distinguishing sclerosing adenosis from invasive ductal carcinoma. 📊🔍
The Application of Mobile Health in Self-Management Among Patients Undergoing Dialysis: Scoping Review.
Mobile health enhances dialysis self-management, focusing on diet, medication, and psychological support. 📱💉 Key findings from 34 studies.