Yuhui Wu
Papers
1
Total Citations
10
H-Index
1
About
Yuhui Wu is a pioneering researcher at the intersection of artificial intelligence and traditional Chinese medicine (TCM). Their work focuses on the standardization and modernization of TCM through machine learning and deep learning techniques. Wu’s most cited paper, “Progress in the application of AI in the standardization of traditional Chinese medicine: A review based on machine learning and deep learning” (2025), has already garnered 10 citations, reflecting its timely impact. This comprehensive review analyzes AI applications across six pivotal domains of TCM, including diagnostics, herbal formulation, and treatment optimization. By systematically mapping how ML and DL can bring rigor and reproducibility to ancient practices, Wu provides a crucial roadmap for integrating TCM into modern, data-driven healthcare systems. Their research bridges a critical gap between centuries-old medical wisdom and cutting-edge computational methods, offering a path toward a more resilient and holistic healthcare future. Wu’s work is essential reading for anyone interested in the digital transformation of traditional medicine, demonstrating how AI can unlock the full potential of TCM while maintaining its foundational principles.
Research Focus
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Top Papers
- 1