
Artificial intelligence for diagnosing rare bone diseases: a global survey of healthcare professionals.
AI in Rare Bone Disease Diagnosis: 91% of healthcare professionals value imaging! π€π Concerns about AI errors persist.
Discover the newest research about AI innovations in 𧬠Rare Diseases.

AI in Rare Bone Disease Diagnosis: 91% of healthcare professionals value imaging! π€π Concerns about AI errors persist.

AI transforms rare disease diagnosis and treatment, addressing 3.5%-5.9% of global cases. Key advancements and challenges discussed. π€π

Exploring AI in minimally invasive nephrectomy: insights from Guo Q’s letter on augmented reality navigation. π€π

AI predicts pediatric brain cancer relapse with 75-89% accuracy, improving care for children with gliomas. π§ π

AI model Foresight uses NHS data to predict health outcomes, aiming for personalized care and early intervention. ππ€

BioStruct-Africa’s workshops enhance structural biology skills in Africa, utilizing AI tools like AlphaFold for disease research. ππ¬

Recent advancements in materials science are transforming drug delivery systems, enhancing precision medicine. π§¬π Explore nanocarriers, hydrogels, and AI integration.

Aminotransferases, especially ALT, remain crucial in diagnosing chronic liver diseases. New insights suggest refining diagnostic strategies for better outcomes. π©Ίπ

Multi-agent models improve diagnostic accuracy in healthcare. π€π Review of PubMed article highlights significant advancements.

AI in nephrology offers potential benefits and challenges. It can enhance patient care and address health inequities. π€π