Artificial Intelligence in Chronic Kidney Disease Management

Nephrology Symposium
Artificial Intelligence in Chronic kidney Disease Management

Date: 19 Sep 2025, Friday | Time: 1310 - 1450 | Track Type: Symposium | Venue: L2-S1, Level 2, Academia

Chronic kidney disease (CKD) is a growing global health burden, with increasing prevalence driven by aging populations, diabetes, and hypertension. Artificial intelligence (AI) has emerged as a transformative tool in CKD care, offering new possibilities for early screening, risk prediction, clinical decision support systems (CDSS) for treatment planning and improve patient communication and care. This symposium will explore cutting-edge AI applications in CKD, including deep learning for retinal image-based screening, machine learning (ML) and digital twin models for risk prediction, and AI-driven strategies for fluid overload management. Experts will discuss current advancements, challenges in implementation, and the future potential of AI in clinical practice.

TOPIC 1:
Development and Deployment of a Digital Twin Model for CKD Risk Prediction
Speaker: Assoc Prof Bee Yong Mong

TOPIC 2:
Understanding Healthcare Resource Utilization and Costs for Fluid Overload in Chronic Kidney Disease
Speaker: Assoc Prof Cynthia Lim

TOPIC 3:
Nationwide Predictive Model for CKD Progression in Diabetic Patients
Speaker: Dr Fu Zhiyan

TOPIC 4:
Retinal Image-Based Deep Learning for Detecting and Predicting CKD
Speaker: Prof Charumathi Sabanayagam