
Scoping review of regulatory transparency in AI-based radiology software: analysis of PMDA-approved SaMD products.
Exploring AI in radiology: 2026 review on PMDA-approved software reveals transparency gaps. 📊🤖
Discover the newest research about AI innovations in 🏢 Work Health.

Exploring AI in radiology: 2026 review on PMDA-approved software reveals transparency gaps. 📊🤖

Health tech suppliers predict significant advancements in NHS technology by 2026, focusing on AI integration, patient-centered care, and improved data management. 🏥💻

MRI radiomics model distinguishes brain tuberculoma from lung cancer metastases with AUC up to 0.986. 📊🧠

Deep learning model predicts extrapancreatic perineural invasion in pancreatic cancer with 79.7% accuracy. 📊🤖

Quantitative imaging enhances ILD diagnosis and treatment, utilizing CT and emerging MRI techniques. 📊🫁

AI in MRI: ChatGPT-4V shows 95.5% sensitivity for bone marrow edema in sacroiliitis detection. Limitations noted. 📊🩻

Implementation science bridges AI and medical imaging, addressing barriers for effective clinical adoption. 🤖📊

Shared decision-making in radiology enhances patient care through leadership strategies and AI tools. Key findings from our review. 📊🤝

AI enhances knee osteoarthritis care, enabling real-time monitoring and predictive analytics for improved patient outcomes. 🤖💪

Innovative pressure sensors mimic scorpion mechanics, achieving 65.56 mV/V/kPa sensitivity and 85.42% accuracy in flow detection. 🦠🤖