NHS 111 Wales Launches AI Virtual Assistant for Health Guidance
NHS 111 Wales introduces an AI virtual assistant for quicker health advice. 🤖💬 Users can access reliable information easily.
Artificial intelligence in allergy practice: Digital transformation and the future of clinical care.
AI in allergy care: Enhancing patient education, but raises ethical concerns on autonomy and clinical reasoning. 🤖⚖️
AI-Driven Drug Discovery Offers Hope for Rett Syndrome Treatment
AI-driven drug discovery shows promise for Rett syndrome treatment. Vorinostat may offer new hope for affected patients. 🧬💊
Visualized load-bearing-based robot control system improves early function in femoral neck fracture patients: a randomized controlled trial focusing on outcomes after total hip arthroplasty.
Visualized robot control enhances early recovery post-THA: significant improvements in VAS, ROM, and walking distance. 🤖🏥
Enhancing NHS Patient Records with Intelligent Integration
NHS patient records are evolving with intelligent integration, aiming for active data use to enhance care efficiency. 📊💡
![[Digital health: a green future for healthcare?].](https://yesilscience.com/wp-content/uploads/2025/07/Digital-health-a-green-future-for-healthcare.jpg)
[Digital health: a green future for healthcare?].
Digital health can enhance sustainability in healthcare, addressing climate impact while improving efficiency. 🌍💻
UK Government Enhances Compute Infrastructure to Advance AI in Medicine
UK government boosts compute infrastructure for AI in medicine, enhancing research capabilities and advancing medical breakthroughs. 💻🩺
Identification of clinical diagnostic and immune cell infiltration characteristics of acute myocardial infarction with machine learning approach.
Machine learning identifies 10 hub genes linked to immune cell infiltration in acute myocardial infarction. 📊❤️
Review of Patient Records Due to GP Coding Mistakes
GP practices are reviewing 57,000 patient records due to coding errors in vaccination statuses. 🩺📋 Corrections are underway.
Risk Stratification of CABG Patients Using an Artificial Intelligence ECG-Derived Age.
AI ECG-derived age predicts CABG outcomes: 44% older than chronological age, linked to higher comorbidities and mortality. 📊❤️