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Artificial intelligence meets traditional Chinese medicine: a bridge to opening the magic box of sphygmopalpation for pulse pattern recognition 被引量:9
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作者 LEUNG Yeuk-Lan Alice GUAN Binghe +4 位作者 CHEN Shuang CHAN Hoyin KONG Kawai LI Wenjung SHEN Jiangang 《Digital Chinese Medicine》 2021年第1期1-8,共8页
Artificial intelligence(AI) aims to mimic human cognitive functions and execute intellectual activities like that performed by humans dealing with an uncertain environment. The rapid development of AI technology provi... Artificial intelligence(AI) aims to mimic human cognitive functions and execute intellectual activities like that performed by humans dealing with an uncertain environment. The rapid development of AI technology provides powerful tools to analyze massive amounts of data, facilitating physicians to make better clinical decisions or even replace human judgment in healthcare.Advanced AI technology also creates novel opportunities for exploring the scientific basis of traditional Chinese medicine(TCM) and developing the standardization and digitization of TCM pulse diagnostic methodology. In the present study, we review and discuss the potential application of AI technology in TCM pulse diagnosis. The major contents include the following aspects:(1) a brief introduction of the general concepts and knowledge of TCM pulse diagnosis or palpation,(2) landmark developments in AI technology and the applications of common AI deep learning algorithms in medical practice,(3) the current progress of AI technology in TCM pulse diagnosis,(4) challenges and perspectives of AI technology in TCM pulse diagnosis. In conclusion, the pairing of TCM with modern AI technology will bring novel insights into understanding the scientific principles underlying TCM pulse diagnosis and creating opportunities for the development of AI deep learning technology for the standardization and digitalization of TCM pulse diagnosis. 展开更多
关键词 Artificial intelligence(AI) Traditional Chinese medicine(TCM) PALPATION pulse pattern recognition pulse diagnosis
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Effect of metal surface morphology on nano-structured patterns induced by a femtosecond laser pulse and its experimental verification
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作者 宋海英 谭胜旺 +4 位作者 诗梦 张艳杰 刘世炳 李瑶 刘海云 《Chinese Optics Letters》 SCIE EI CAS CSCD 2018年第7期88-91,共4页
The effect of material surface morphology on the periodic subwavelength of nano-structures induced by a femtosecond(fs) laser was investigated systematically from the initial surface roughness, the different scratch... The effect of material surface morphology on the periodic subwavelength of nano-structures induced by a femtosecond(fs) laser was investigated systematically from the initial surface roughness, the different scratches, the pre-formed ripples, and the "layer-carving" technology experiments. The results of the comparative experiments indicate that the initial surface conditions of the target surface have no obvious effects on the spatial structured periods(SSPs) and the ripple orientation of the periodic nano-structures induced by a fs laser, which agreed well with the foretold present surface two-plasmon resonance(STPR) model. Furthermore, different shapes of nanogrids with high regularity and uniformity were obtained by fs-laser fabrication. 展开更多
关键词 Effect of metal surface morphology on nano-structured patterns induced by a femtosecond laser pulse and its experimental verification
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