Progress of researches on machine learning combined with neuroimaging in the field of acupuncture

Yixiang Wang; Zhao Sun; Xiaona Kang; Binyan Ran; Qiong Wu; Luyu Huang; Hao Li; Wei Shen

doi:10.1117/12.2687519

28 August 2023 Progress of researches on machine learning combined with neuroimaging in the field of acupuncture

Yixiang Wang, Zhao Sun, Xiaona Kang, Binyan Ran, Qiong Wu, Luyu Huang, Hao Li, Wei Shen

Proceedings Volume 12724, Second International Conference on Biomedical and Intelligent Systems (IC-BIS 2023); 127241X (2023) https://doi.org/10.1117/12.2687519
Event: Second International Conference on Biomedical and Intelligent Systems (IC-BIS2023), 2023, Xiamen, China

Abstract

The robust performance of machine learning techniques provides good application prospects for neuroimaging, not only breaking the limitations of human eye recognition, but also improving the generalization ability of image features. By introducing machine learning and neuroimaging into the field of acupuncture, the " acupuncture-point-disease" target advantage can be more objectively and visually exploited, making it efficient for clinical use. By synthesizing the relevant literature, the author takes multidisciplinary intersection as a starting point and machine learning combined with neuroimaging as a means to sort out the acupuncture point specificity, acupuncture modality and acupuncture efficacy prediction. And we also review the progress of the current research on "bottlenecks" and future research trends.

Citation Download Citation

Yixiang Wang, Zhao Sun, Xiaona Kang, Binyan Ran, Qiong Wu, Luyu Huang, Hao Li, and Wei Shen "Progress of researches on machine learning combined with neuroimaging in the field of acupuncture", Proc. SPIE 12724, Second International Conference on Biomedical and Intelligent Systems (IC-BIS 2023), 127241X (28 August 2023); https://doi.org/10.1117/12.2687519

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