26^th Global Nephrology, Urology and Kidney Failure Congress

The Role of AI in Nephrology

Artificial intelligence (AI) is transforming nephrology by enhancing diagnosis, treatment, and patient management. Machine learning algorithms can analyse vast amounts of patient data to identify patterns and predict outcomes, aiding in early detection of chronic kidney disease (CKD) and acute kidney injury (AKI). AI-driven tools can enhance risk stratification, helping healthcare providers to prioritize patients for intervention based on their likelihood of disease progression. Moreover, AI is improving the personalization of treatment plans, enabling tailored therapies that consider individual patient characteristics and preferences. In dialysis, AI can optimize treatment schedules and monitor patient adherence, thereby improving outcomes. Additionally, AI’s ability to analyse imaging data supports the diagnosis of urological conditions, facilitating timely interventions. As telehealth expands, AI can enhance virtual consultations by analysing patient symptoms and history for more accurate assessments. While the potential of AI in nephrology is significant, ethical considerations, data privacy, and the need for robust validation of AI tools remain paramount. Overall, AI promises to revolutionize nephrology, making it more precise and patient-centred.