Explore the transformative role of artificial intelligence (AI) in pediatric hepatology and liver transplantation, highlighting how AI innovations are reshaping early diagnosis, risk stratification, and personalized treatment strategies for pediatric liver diseases. Experts review AI-driven advancements in noninvasive diagnostics, predictive analytics for disease progression, and optimizing donor-recipient matching in liver transplantation. Speakers also address the role of AI in improving posttransplant care, including graft survival prediction and early detection of complications. Emphasizing practical applications, ongoing challenges, and ethical considerations, this session demonstrates how AI can enhance decision-making, improve outcomes, and pave the way for precision medicine in pediatric liver care.
Identify the latest advancements in artificial intelligence (AI) applications for early diagnosis, risk prediction, and personalized treatment in pediatric liver diseases.
Summarize how AI technologies transform liver transplantation processes, including donor-recipient matching, graft survival prediction, and posttransplant monitoring in pediatric patients.
Describe the practical, ethical, and regulatory considerations for implementing AI tools in pediatric hepatology to improve clinical decision-making and patient outcomes.