29^th European Nephrology Conference

Artificial Intelligence and Machine Learning in Renal Diagnostics

Artificial Intelligence and Machine Learning are transforming renal diagnostics by enhancing the accuracy and efficiency of kidney disease detection and management. AI algorithms can analyze vast amounts of patient data, including medical imaging, lab results, and electronic health records, to identify patterns indicative of kidney disorders. For instance, ML models can interpret ultrasound images to detect early signs of kidney abnormalities with high precision, often surpassing traditional methods. Predictive analytics, powered by AI, can assess risk factors and forecast disease progression, allowing for personalized treatment plans. Moreover, AI-driven tools facilitate the early detection of chronic kidney disease and acute kidney injury (AKI) by integrating data from various sources and providing real-time insights. As these technologies continue to advance, they promise to improve diagnostic accuracy, reduce the burden on healthcare providers, and enhance patient outcomes in renal care.