Society of Diabetic Nephropathy Prevention Journal of Nephropharmacology 2345-4202 15 1 2026 01 01 AI-driven innovations in intensive care nephrology; bridging intensive care and kidney diseases e12820 e12820 10.34172/npj.2025.12820 EN Malihe Abniki https://orcid.org/0009-0006-3318-5111 Mahdi Amirdosara https://orcid.org/0000-0001-6865-4543 Masood Zangi https://orcid.org/0000-0001-9860-925X Journal Article 10.34172/npj.2025.12820 2025 10 07 2025 11 26 This narrative review explores the transformative role of artificial intelligence (AI) in critical care nephrology, focusing on the early detection, risk prediction, and management of acute kidney injury (AKI) and the optimization of renal replacement therapies in intensive care settings. Drawing from recent valid-indexed studies, the review highlights AI’s ability to enhance clinical decision-making through advanced machine learning models that predict AKI onset hours to days before traditional biomarkers indicate injury. The integration of explainable AI frameworks improves clinician trust and fosters personalized treatment strategies. Additionally, AI applications in continuous renal replacement therapy (CRRT) facilitate individualized dosing and timing, reducing complications and supporting better outcomes. Challenges in data quality, ethical considerations, and clinical implementation are discussed, alongside future directions such as multi-modal data integration and adaptive learning systems. The review underscores AI’s potential to bridge intensive care and nephrology, ultimately aiming to improve patient prognosis in critically ill populations.