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Artificial intelligence in kidney disease and dialysis: from data mining to clinical impact
1
Zitationen
3
Autoren
2025
Jahr
Abstract
AI in nephrology shows promise for personalized care and cost reduction, as demonstrated by tools like the Anemia Control Model. Yet, broad adoption requires rigorous validation, seamless workflow integration, regulatory clearance, and clinician trust. Future opportunities include digital twins, large language models, and multiomics integration, with AI poised to enhance both patient outcomes and system performance.
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