波多野结衣办公室双飞_制服 丝袜 综合 日韩 欧美_网站永久看片免费_欧美一级片在线免费观看_免费视频91蜜桃_精产国品一区二区三区_97超碰免费在线观看_欧美做受喷浆在线观看_国产熟妇搡bbbb搡bbbb_麻豆精品国产传媒

Global EditionASIA 中文雙語Fran?ais
Opinion
Home / Opinion / From the Readers

AI contributes to the modernization of traditional Chinese medicine

By Zhao Ziyi | chinadaily.com.cn | Updated: 2024-08-12 16:09
Share
Share - WeChat
[Photo/Xinhua]

Imagine accessing traditional Chinese medicine (TCM) services with just a tap on your smartphone. What once required a hospital visit—often leading to long waits and considerable inconveniences, especially for the elderly—is now available at your fingertips.

The innovative mini-program "Wang She Wen Shan" (Tongue Diagnosis and Dietary Guidance) is transforming TCM consultations. Users can now receive a detailed health report in under two minutes simply by taking a quick snapshot of their tongue. More than that, this AI-powered tool also provides personalized dietary and wellness recommendations, streamlining the whole process to meet the growing demand for health management in local communities.

According to the mini-program's developers, this transformation has been made possible through the seamless integration of the traditional TCM tongue diagnosis method with cutting-edge AI image recognition technology. The program has been trained on over 20,000 clinical tongue images, enabling it to provide accurate and convenient health assessments, thereby bringing TCM into the digital age. In just six months, the program has been used more than 30,000 times, with an impressive 94% of users expressing satisfaction with the results.

Since July 2023, Guangzhou has been at the forefront of piloting TCM services with AI assistance. A research team from the South China University of Technology developed an AI-powered TCM Constitution Identification Device based on machine learning models. Trained by TCM doctors from the Affiliated Hospital of Guangzhou Medical University, this device has "learned" to identify users' constitution types through facial and tongue images and provide personalized health recommendations. By October 2023, this smart device had been deployed in 11 communities across Guangzhou, serving over 12,000 residents. In addition, other AI-driven innovations, such as prescription systems, health wristbands, pulse signal acquisition systems, acupuncture robots, and massage robots, are increasingly making their way into public use, bringing a high-tech touch to traditional medicine.

In November 2022, the National Administration of Traditional Chinese Medicine issued the 14th Five-Year Plan for TCM development, emphasizing the integration of TCM with modern technologies. This policy has catalyzed a surge of research and innovation, particularly in developing intelligent TCM devices. With this support, universities and research institutions across China are actively exploring the potential of AI to enhance grassroots-level TCM services. Collaboration between TCM experts and computer scientists is gaining momentum, with numerous institutions dedicating efforts to integrate AI into TCM practices.

A strong focus of current research is on developing AI-assisted technologies for the "Four Diagnose" of TCM—observing, listening, inquiring, and pulse-taking. These technologies rely on computer sensors to gather data on patients' physical appearance, sounds, smells, and biological signals, which AI then processes to provide efficient and objective diagnostics, aiding physicians in their treatments.

The application of AI in TCM holds significant promise for underserved areas with limited medical resources. In remote regions where access to experienced doctors is scarce, AI-assisted tools could equip local practitioners with diagnostic capabilities comparable to those of seasoned professionals, thereby improving healthcare quality. While AI offers substantial potential for TCM, it is crucial to acknowledge its current limitations in clinical settings. Accurate diagnosis still relies heavily on the expertise of physicians. AI is intended to complement—not replace—human doctors, serving as a valuable adjunct.

Despite the progress made, the integration of AI into TCM is still in its early stages and faces several challenges. One of the primary hurdles is the lack of theoretical standardization within TCM. Over thousands of years, TCM has evolved into a field with a wide array of schools and perspectives. This diversity means that for the same illness, different schools and experts may recommend varying treatment plans, which will complicate both product development and international recognition. To address this issue, China is steadily promoting the standardization of TCM, with plans to establish 180 domestic standards and 30 international standards by the end of 2026.

Another challenge lies in the integration of medical and engineering technologies. Although computer applications in TCM date back to the 1980s, early systems relied on pre-programmed standards that often fell short due to the complex nature of patient symptoms. The unpredictability and variability of these symptoms pose significant difficulties for AI's deep learning processes. In light of these challenges, the industry is actively seeking solutions to overcome these challenges and pave the way for more advanced and reliable TCM-AI tools.

In conclusion, the integration of AI into TCM is poised to profoundly revolutionize healthcare by making TCM more accessible and efficient. However, as the journey is only beginning, much work remains. With collaborative efforts from researchers and practitioners, TCM stands on the brink of a vibrant revival. There is every reason to believe that TCM is expected to not only enhance the quality of healthcare but also extend its benefits to communities far and wide.

Zhao Ziyi is a graduate student at Shandong University. The views don't necessarily reflect those of China Daily.

If you have a specific expertise, or would like to share your thought about our stories, then send us your writings at opinion@chinadaily.com.cn, and comment@chinadaily.com.cn.

Most Viewed in 24 Hours
Top
BACK TO THE TOP
English
Copyright 1995 - . All rights reserved. The content (including but not limited to text, photo, multimedia information, etc) published in this site belongs to China Daily Information Co (CDIC). Without written authorization from CDIC, such content shall not be republished or used in any form. Note: Browsers with 1024*768 or higher resolution are suggested for this site.
License for publishing multimedia online 0108263

Registration Number: 130349
FOLLOW US
波多野结衣办公室双飞_制服 丝袜 综合 日韩 欧美_网站永久看片免费_欧美一级片在线免费观看_免费视频91蜜桃_精产国品一区二区三区_97超碰免费在线观看_欧美做受喷浆在线观看_国产熟妇搡bbbb搡bbbb_麻豆精品国产传媒
国产成人精品午夜视频免费| 国产女人18水真多毛片18精品| 欧美日韩一级二级三级| 亚洲日本一区二区| 成人晚上爱看视频| 日本一级片免费| 欧美韩国日本一区| 懂色av一区二区在线播放| 182在线观看视频| 国产精品日日摸夜夜摸av| 国产成人av电影免费在线观看| 亚洲天堂精品一区| 亚洲国产精品成人综合色在线婷婷| 精品一二三四区| 69xxx免费| 中国色在线观看另类| 国产黄人亚洲片| 中文字幕人妻一区二| 亚洲欧洲国产日本综合| 97se狠狠狠综合亚洲狠狠| 91久久人澡人人添人人爽欧美| 亚洲精品成人少妇| 欧美午夜精品一区二区| 欧美久久久久久久久中文字幕| 亚洲3atv精品一区二区三区| 国产精品无码在线| 精品国产成人在线影院 | 精品人妻一区二区免费| 欧美精品日韩一区| 蜜臀av性久久久久蜜臀aⅴ四虎| 一卡二卡三卡四卡| 国产视频一区不卡| 成人av第一页| 欧美猛男男办公室激情| 日韩精品成人一区二区三区| 亚洲av无码一区二区三区人| 国产欧美综合在线观看第十页| 国产成人精品影院| 在线观看不卡视频| 日韩av在线发布| 很污很黄的网站| 亚洲免费观看高清完整版在线观看熊 | 亚洲欧美色一区| www.美色吧.com| 精品国产乱码久久久久久闺蜜| 国产成人自拍在线| 欧美日韩亚洲综合在线| 蜜臀av亚洲一区中文字幕| 亚洲少妇xxx| 亚洲午夜精品久久久久久久久| 国产熟女高潮一区二区三区| 久久精品人人做人人综合| 99久久99久久精品免费观看 | 国产日韩欧美制服另类| 99久久精品国产观看| 欧美一区二区三区视频免费播放| 国产在线视频不卡二| 日本道精品一区二区三区| 免费观看成人av| 国产高潮国产高潮久久久91| 亚洲国产视频a| 亚洲色图日韩精品| 亚洲国产视频a| 三级黄色片在线观看| 亚洲国产wwwccc36天堂| 婷婷国产成人精品视频| 午夜精品一区二区三区三上悠亚| av资源在线免费观看| 亚洲国产精品久久人人爱| 极品尤物一区二区| 亚洲v中文字幕| 日韩在线中文字幕视频| 日韩不卡一二三区| 色综合天天综合| 黄色日韩三级电影| 制服丝袜av成人在线看| 成人精品视频网站| 精品国产一区二区三区久久影院| av在线不卡观看免费观看| 精品88久久久久88久久久 | 国产精品色婷婷久久58| a天堂视频在线观看| 1000精品久久久久久久久| 成人激情五月天| 午夜av区久久| 色欧美乱欧美15图片| 国产一区二区久久| 欧美一区二区三区婷婷月色| www.欧美日韩国产在线| 久久久夜色精品亚洲| 成人午夜精品无码区| 亚洲欧美激情在线| 日本裸体美女视频| 捆绑紧缚一区二区三区视频| 欧美日韩一卡二卡三卡| 国产成人精品免费看| 精品日韩一区二区| 亚洲精品乱码久久久久久蜜桃图片| 1024精品合集| 亚洲视频重口味| 狠狠色2019综合网| 欧美一级生活片| 催眠调教后宫乱淫校园| 亚洲人成在线观看一区二区| 女性裸体视频网站| 狠狠网亚洲精品| 精品粉嫩aⅴ一区二区三区四区| 久久久久久久人妻无码中文字幕爆| 亚洲人123区| 欧美特级一级片| 国产成人免费视频一区| 国产偷国产偷精品高清尤物| 亚洲AV无码国产成人久久| 日韩精品1区2区3区| 欧美日韩久久久一区| 91麻豆免费视频| 亚洲人成精品久久久久| 欧美黄色aaa| 成人午夜在线免费| 国产精品网站在线播放| 在线观看日本黄色| 国产在线视频不卡二| 国产日韩视频一区二区三区| 少妇视频在线播放| 国产成人午夜精品5599| 中文子幕无线码一区tr| 国产精品夜夜夜爽阿娇| 国产·精品毛片| 中文字幕亚洲电影| 一本色道久久综合亚洲aⅴ蜜桃 | 极品魔鬼身材女神啪啪精品| 国产激情一区二区三区四区 | 国产成人在线视频网站| 中文字幕av一区二区三区| 尤物在线免费视频| 成人网在线播放| 亚洲精品日韩一| 欧美日韩aaaaaa| 成人影视免费观看| 久久 天天综合| 日本一区二区不卡视频| 色综合久久久久久久久| 野花视频免费在线观看| 视频一区视频二区中文字幕| 欧美成人精品二区三区99精品| 97人妻精品一区二区免费| 国内精品在线播放| 欧美激情在线观看视频免费| 色悠久久久久综合欧美99| 91精产国品一二三| 青娱乐精品在线视频| ww久久中文字幕| 色老板免费视频| 亚洲成人av免费观看| 日日夜夜精品视频天天综合网| 日韩精品一区二区三区在线观看| x88av在线| 成人高清视频免费观看| 亚洲自拍另类综合| 日韩精品中文字幕在线不卡尤物 | 亚洲成人动漫一区| 欧美不卡视频一区| 青青青视频在线免费观看| 99综合影院在线| 日本aⅴ亚洲精品中文乱码| 久久精品一二三| 在线影视一区二区三区| 国产人妻人伦精品1国产丝袜 | 久久国产精品一区二区| 欧美国产一区二区| 欧美午夜不卡视频| 欧美色图亚洲激情| 国产成人在线色| 亚洲一二三四在线| 久久综合丝袜日本网| 色哟哟一区二区三区| 精品无码在线视频| 国产91丝袜在线播放0| 亚洲福中文字幕伊人影院| 久久久综合精品| 欧美日韩国产系列| 中文字幕第69页| 中文字幕第九页| 国产成人免费视频| 五月婷婷色综合| 国产精品久久久久9999吃药| 欧美精品在线视频| 亚洲综合视频网站| 中文字幕一区二区久久人妻网站| 懂色av一区二区三区蜜臀| 五月婷婷色综合| 亚洲欧美怡红院| 精品国产制服丝袜高跟| 欧美在线视频你懂得| 中文字幕免费在线看线人动作大片| 欧美一级大片免费看| 国产乱色国产精品免费视频| 亚洲成人免费影院| 亚洲欧洲99久久| 久久精品一区八戒影视|