Papers
1
Total Citations
6
H-Index
1
About
Lingling Lou is a pioneering researcher at the intersection of traditional Chinese medicine (TCM) and artificial intelligence, dedicated to modernizing ancient healing practices through digital innovation. Her work centers on the integration of AI into TCM, exploring how machine learning and data-driven tools can enhance diagnostic accuracy, treatment personalization, and the preservation of medical heritage. In her landmark study, “A national survey on how to improve the integration of traditional Chinese medicine and artificial intelligence: Attitudes and perceptions from medical staff” (2025), Lou systematically assessed the readiness and concerns of healthcare professionals—a critical step toward bridging the gap between centuries-old wisdom and cutting-edge technology. This work, already garnering 6 citations, provides foundational insights for developing AI systems that respect TCM’s holistic principles while meeting modern clinical standards. Lou’s research not only addresses technical challenges but also emphasizes human factors, ensuring that AI adoption is both practical and culturally sensitive. Her contributions are shaping the future of integrative medicine, offering a roadmap for harmonizing tradition with innovation.
Research Focus
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Top Papers
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