In 2025, Chinese researchers are pioneering a fresh medical paradigm called Digital Intelligent Evidence-Based Medicine (i-EBM), powered by AI. 🧠💡
Traditional EBM – blending top research, clinician expertise, and patient needs – has transformed healthcare but still faces hurdles like time lags, scattered data, and one-size-fits-all plans.
i-EBM tackles these by:
- Integrating multi-source data: scientific studies, biomedical databases, electronic medical records, medical images, and even environmental info.
- Using AI for deep evidence analysis: knowledge graphs link research, clinical records, and other data in minutes, not months.
- Providing individualized decision support: tailored treatment suggestions that help doctors make precise calls.
Ge Long from Lanzhou University notes that the AI era boosts the ability to process massive data and craft reference treatment plans. i-EBM is an evolution, not a disruption, merging machine smarts with human expertise.
Practical wins already include AI-driven guides for Chinese patent medicines and a multimodal database aiding childhood pneumonia diagnosis and therapy. 🔬👶
Similar AI-driven frameworks could also empower other traditional medicine systems across South and Southeast Asia, from Ayurveda to Jamu, boosting research and patient care region-wide. 🌿🤖
Looking ahead, the team plans to refine i-EBM to raise medical standards and promote equal care access, aiming for healthier futures across the region. 🌏❤️
Reference(s):
Chinese researchers inject AI power to evidence-based medicine
cgtn.com
