Guifen Zeng
Papers
1
Total Citations
9
H-Index
1
About
Dr. Guifen Zeng is a leading researcher at the intersection of traditional Chinese medicine and artificial intelligence, with a primary focus on intelligent acupoint localization and acupuncture robotics. Her most-cited work, "Back acupoint location method based on prior information and deep learning" (2023, 9 citations), addresses a critical gap in medical robotics: the lack of mature, automated acupoint selection technology. By integrating prior anatomical knowledge with deep learning algorithms, Dr. Zeng developed a method that enables robots to accurately identify back acupoints, significantly enhancing the precision and therapeutic efficacy of acupuncture-assisted treatments. This contribution is foundational for advancing smart medical devices that combine traditional healing practices with modern automation. Her research holds promise for improving auxiliary disease prevention and treatment, bridging centuries-old medical wisdom with cutting-edge AI. Dr. Zeng’s work is particularly notable for its practical impact on the design of acupuncture robots, positioning her as a key innovator in the emerging field of intelligent traditional medicine.
Research Focus
Key Achievements
Top Papers
- 1