Title : AI-governed longevity imaging: Integrating whole-body MRI biomarkers into digital preventive health systems
Abstract:
Global ageing demands a transition from reactive disease management to predictive, data-driven preventive care. Advances in imaging technology and artificial intelligence now enable quantification of longevity biomarkers that extend beyond traditional diagnostics.Whole-body MRI-derived imaging biomarkers including visceral adiposity, hepatic steatosis, musculoskeletal degeneration, neurovolumetrics, and vascular structural metrics provide quantifiable indicators of biological ageing and cardiometabolic risk before symptomatic disease emerges. However, the true impact of these biomarkers lies not in isolated detection, but in digital integration.This presentation explores how AI-enabled imaging workflows, structured reporting systems, and Clinical Decision Support (CDS) layers can transform longevity imaging into scalable preventive infrastructure.
Key themes include:
• Standardisation of imaging biomarkers for longitudinal tracking
• Integration of imaging with blood biomarkers and wearable-derived physiological data
• Development of AI-assisted triage and prioritisation tools
• Governance frameworks for human-in-the-loop diagnostic oversight
• Ethical considerations in predictive health modelling
• Ensuring equitable access to advanced preventive diagnostics
Drawing on implementation experience in Australia across both public health systems and private longevity imaging, this session outlines a model in which digital health architecture supports early risk identification while preserving clinical accountability.The central thesis is that scaling technical expertise through governed AI can democratise access to precision preventive care. Without robust governance, however, digital longevity tools risk increasing inequity, overdiagnosis, and fragmentation. By embedding imaging biomarkers within interoperable digital ecosystems including structured dashboards and CDS platforms healthcare systems can shift from episodic intervention to continuous risk modulation.The future of ageing care lies not simply in better imaging, but in intelligent systems that convert complex biomarker data into meaningful, ethical, and actionable health strategy.
