fig3

Multimodal artificial intelligence for vascular aging: toward proactive detection and management

Figure 3. Roadmap for the clinical integration of multimodal AI. The schematic identifies primary obstacles to clinical implementation, including algorithmic fairness, regulatory hurdles, model explainability and real-world validation. A tiered roadmap is proposed over a horizon extending beyond 5 years, transitioning from the establishment of dataset and Explainable AI (XAI) standards in the near term to large-scale randomized controlled trials (RCTs) and seamless EHR integration in the long term. The ultimate objective of this pipeline is to enhance clinical outcomes while simultaneously reducing provider workload. Created in BioRender. Wang Z (2026) https://BioRender.com/o1iqjcw. AI: Artificial intelligence; EHR: electronic health record.

The Journal of Cardiovascular Aging
ISSN 2768-5993 (Online)

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