
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 🧬 Rare Diseases.

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. 📊🧠

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

AI & Radiogenomics in Pediatric CNS Tumors: 2021 WHO guidelines enhance diagnosis via molecular profiling. Promising future ahead! 🧠✨

Rare diseases affect 300 million globally. Medical education must adapt to improve care. 📚💉

AI vs. Clinicians: 28% Diagnosis Match in Rare Diseases 🤖🩺

Exploring childhood vasculitis: recent advances in diagnosis, treatment, and future directions. 📊🩺

New wearable device monitors muscle health in older adults. 🦵📈 Aims to detect sarcopenia for timely intervention.

Lung lobe segmentation tools evaluated: TotalSegmentator excels, while data diversity enhances model accuracy. 📊🫁