Xianjing Liu

Xianjing Liu is a Research Fellow at Erasmus MC, affiliated with both the Radiology & Nuclear Medicine and Internal Medicine departments. Their work focuses on interdisciplinary research combining artificial intelligence with medical imaging, cancer epidemiology, and public health interventions. Key areas of interest include facial shape analysis using AI, healthcare technology applications for chronic disease management, and cost-effectiveness evaluations of cancer screening methods.

Education details: Completed a doctoral thesis in 2025 titled '3D facial shape analysis: Unraveling environmental, genetic, and health connections through AI-driven methodological advancements,' which demonstrates expertise in AI-driven biomedical research.

Research activities prominently feature collaboration between computational methods and clinical applications, particularly in oncology and medical imaging. Recent work emphasizes practical solutions for improving healthcare outcomes through:

• Development of AI tools for medical image analysis
• Evaluation of digital health interventions for medication adherence
• Biomarker-based cancer screening methodologies
• Cost-effectiveness analyses of diagnostic strategies

Publications show a strong focus on translating technical innovations into clinical practice, with contributions to journals like Medical Image Analysis, Cancer Reports, and Health Science Reports.