Session (CTI)

This session explores the transformative role of artificial intelligence and advanced analytical methods in optimizing health technology assessment. Topics include the application of generative AI for simulating complex HTA discussions, leveraging AI for efficient data extraction from HTA reports, comparing machine learning and traditional statistical approaches for predicting health outcomes like EQ-5D scores, and refining health economic models to capture critical clinical nuances. The session highlights how cutting-edge computational techniques can enhance the efficiency, accuracy, and depth of health economic and HTA research.