
Health Tech Insights: Expectations for 2025
Health Tech Insights: Expectations for 2025 📊
Anticipation grows for NHS digital health advancements, focusing on data-driven care, integrated systems, and AI innovations. 🏥✨
Discover the newest research about AI innovations in 🦠 Epidemiology.
Health Tech Insights: Expectations for 2025 📊
Anticipation grows for NHS digital health advancements, focusing on data-driven care, integrated systems, and AI innovations. 🏥✨
AI optimization for pediatric chest radiographs enhances diagnostic accuracy. Study reveals tailored operating points improve sensitivity. 📊👶
A recent study reviewed highlights the random survival forest model’s effectiveness in predicting early recurrence of hepatocellular carcinoma post-surgery. 📊🔍
Telehealth improves hepatitis C treatment success in rural areas, with 85% enrollment via digital platforms. 📱💊
A new study reveals a deep learning system for accurately diagnosing liver lesions in CT images. 🤖🩻
Anxiety in Pap-positive women can increase post-diagnostic procedures. 🤔 Artificial neural networks help predict this anxiety. 🧠
Exploring the shift in epidemiology: clinical practices embrace machine learning, while population studies lag behind. 📊🔍
Siloam Hospitals partners with Philips to enhance AI in healthcare. 🤖📈 Focus areas include radiology, telemedicine, and training.
AI shows promising accuracy in brain tumor MRI analysis, matching radiologists’ performance. 🤖🧠 Future implications for diagnostics are significant.
Recent research highlights the potential of 18F-FDG PET/CT radiomics in predicting Her-2 and Ki-67 status in gastric cancer. 📊🔍