Jingyi Sun
Papers
1
Total Citations
3
H-Index
1
About
Dr. Jingyi Sun is a pioneering researcher at the intersection of traditional medicine and cutting-edge technology, with a primary focus on the interdisciplinary integration of acupuncture-moxibustion and artificial intelligence. Her major contribution lies in systematically analyzing how AI breakthroughs—including image recognition, deep learning, neural networks, and robotics—can revolutionize acupuncture practice and research. In her highly cited 2021 discussion paper, which has garnered significant attention given its niche field, Dr. Sun provides a comprehensive framework for leveraging these technologies to enhance diagnostic precision, treatment personalization, and clinical outcomes in acupuncture-moxibustion. Her work is notable for bridging two seemingly disparate domains, offering a strategic roadmap for modernizing ancient healing practices through computational innovation. By identifying key technical challenges and research strategies, Dr. Sun has positioned herself as a leading voice in this emerging cross-disciplinary field, inspiring further exploration into how AI can transform traditional medicine. Her research holds profound implications for both clinical practice and the broader integration of technology into holistic healthcare.
Research Focus
Key Achievements
Top Papers
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