WCN26-4656 AI-ESTIMATED "KIDNEY AGE” FROM RENAL ULTRASOUND: A NOVEL DIGITAL BIOMARKER ASSOCIATED WITH RENAL OUTCOMES

Abstract

demonstrate a $ 15% reallocation of dietitians' time to new patients, a higher proportion of complete CKD nutritional assessments, and improved patient engagement through real-time feedback on dietary behavior.Clinical impacts will be explored through longitudinal monitoring of kidney function decline and proteinuria.Conclusion: URIKI offers a patient-centered, digital alternative to traditional 24-hour urine collection, potentially improving early detection of dietary imbalances, supporting self-management, and optimizing clinical resources.Its integration into the CKD bundledpayment program could enhance both care efficiency and quality of life for patients and professionals while reducing the environmental footprint of care pathways.Ethical compliance: The study adheres to the Declaration of Istanbul and all ethical principles governing human research, with approval from the AP-HP institutional review board.I have no potential conflict of interest to disclose.I used generative AI and AI-assisted technologies in the writing process.

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