Scottish GPs Highlight Need for Improved IT Systems
Scottish GPs report inadequate IT systems, impacting patient care. RCGP urges government to prioritize modern technology for efficiency. 💻🩺
Diagnostic performance of convolutional neural network-based AI in detecting oral squamous cell carcinoma: a meta-analysis.
AI in Oral Cancer Detection: CNNs show 94% sensitivity & specificity! 📊 High diagnostic potential, but more studies needed. 🦷
Use of Automation Technologies and Data Mining in Speech Recognition for Autism.
Automation in ASD Speech Recognition: Enhancing Early Detection with AI Tools 🤖📊
Bridging machine learning and clinical practice: a multicentre nomogram for 90-day graft failure risk stratification in heart transplantation.
Machine learning enhances heart transplant outcomes: 90-day graft failure risk stratification tool shows AUC 0.67 📊❤️
Future trends and challenges in occupational therapy: Insights from a Delphi study.
Future trends in occupational therapy: 36 experts highlight tech integration, digital literacy, and ethical AI concerns. 📈🧠
Classification of angioedema types using decision tree modeling.
Machine learning enhances angioedema diagnosis, achieving 94% accuracy for hereditary types. 🤖💉
Northamptonshire’s Shared Care Record Project Expected to Save Over £1 Million
Northamptonshire's shared care record project aims to save over £1 million by improving care coordination and access to information. 💰📊
![[Reconstruction of superficial organs: a leap from structural restoration to functional rehabilitation].](https://yesilscience.com/wp-content/uploads/2026/02/Reconstruction-of-superficial-organs-a-leap-from-structural-restoration-to-functional-rehabilitation.jpg)
[Reconstruction of superficial organs: a leap from structural restoration to functional rehabilitation].
Revolutionary advances in superficial organ reconstruction: merging surgical techniques with AI and 3D printing for enhanced functionality. 🧬🔬
Machine learning mortality prediction model for cyclosporine therapy in pediatric aplastic anemia.
Machine learning predicts mortality in pediatric aplastic anemia with 83.4% AUC. Key predictors include reticulocyte count and platelet count. 📊👶
Weekly Health & AI Digest – February 02, 2026
Here are the latest breakthroughs in health & AI (February 02, 2026 week) 🔹 Enhancing the Effectiveness of Electronic Patient Records in the NHS NHS EPRs need effective strategies for better use. Training and culture are key for improved patient...