Nephrology and Kidney Diseases

Artificial Intelligence and Predictive Analytics in Kidney Care

Artificial intelligence and predictive analytics are transforming nephrology by enhancing diagnostic accuracy, personalizing treatment, and improving patient outcomes. Machine learning algorithms can analyze large datasets to detect early signs of kidney disease, predict dialysis needs, and identify patients at risk for complications like hyperkalemia or fluid overload. Clinical decision support systems guide medication adjustments and highlight potential drug interactions in complex patients. Predictive models also aid in transplant outcomes, graft survival, and hospitalization risk. Integration of AI tools into electronic health records is becoming increasingly common, empowering clinicians to make informed, data-driven decisions. Ethical considerations, data privacy, and validation remain important challenges in the widespread adoption of AI in kidney care.

Topics covered:

• AI in early detection of kidney dysfunction

• Predictive modeling for dialysis and transplant planning

• Clinical decision support tools in nephrology