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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.
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.
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 local hospitals, 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 adopted in 11 communities across Guangzhou, serving over 12,000 residents. In addition, other AI-driven innovations, such as prescription systems, pulse signal acquisition systems, acupuncture robots, and massage robots, are making their way into public use, bringing a high-tech touch to traditional medicine.
Despite the progress made, the integration of AI into TCM is still in its early stages. One of the primary hurdles is the lack of theoretical standardization within TCM. For the same illness, different schools and experts may recommend varying treatment plans.
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.
Anyway, there is every reason to believe that the integration of AI into TCM will profoundly revolutionize healthcare by making TCM more accessible and efficient. It holds significant promise for underserved areas with limited medical resources. Nevertheless, as the journey is only beginning, it is crucial to acknowledge its current limitations in clinical settings. While AI offers substantial potential for TCM, accurate diagnosis still relies heavily on the expertise of physicians. AI is intended to complement—not replace—human doctors.
(
A. It provides invariable dietary and wellness suggestions for users.
B. It requires users to take a photo of their tongue for consultation.
C. It has been trained on abundant tongue images of medical staff.
D. It fails to function properly without facial recognition technology.
(
A. A glimpse of the development of AI-driven TCM innovations.
B. An introduction to an AI-powered device developed by doctors.
C. An insight into the potential use of AI-driven devices in TCM.
D. A comparison between different AI-powered TCM innovations.
(
A. Folks in places with few experienced doctors.
B. Patients with symptoms rarely seen or reported.
C. Physicians with great diagnostic capabilities.
D. Senior citizens with difficulty using smartphones.
(
A. AI: The Future of TCM
B. Doctors at Your Fingertips
C. Modernized TCM with AI
D. Integration of AI into Medicine
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.
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.
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 local hospitals, 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 adopted in 11 communities across Guangzhou, serving over 12,000 residents. In addition, other AI-driven innovations, such as prescription systems, pulse signal acquisition systems, acupuncture robots, and massage robots, are making their way into public use, bringing a high-tech touch to traditional medicine.
Despite the progress made, the integration of AI into TCM is still in its early stages. One of the primary hurdles is the lack of theoretical standardization within TCM. For the same illness, different schools and experts may recommend varying treatment plans.
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.
Anyway, there is every reason to believe that the integration of AI into TCM will profoundly revolutionize healthcare by making TCM more accessible and efficient. It holds significant promise for underserved areas with limited medical resources. Nevertheless, as the journey is only beginning, it is crucial to acknowledge its current limitations in clinical settings. While AI offers substantial potential for TCM, accurate diagnosis still relies heavily on the expertise of physicians. AI is intended to complement—not replace—human doctors.
(
B
)5. What do we know about “Wang She Wen Shan”?A. It provides invariable dietary and wellness suggestions for users.
B. It requires users to take a photo of their tongue for consultation.
C. It has been trained on abundant tongue images of medical staff.
D. It fails to function properly without facial recognition technology.
(
A
)6. What’s the main idea of the fourth paragraph?A. A glimpse of the development of AI-driven TCM innovations.
B. An introduction to an AI-powered device developed by doctors.
C. An insight into the potential use of AI-driven devices in TCM.
D. A comparison between different AI-powered TCM innovations.
(
A
)7. Who might benefit most from the mini-program?A. Folks in places with few experienced doctors.
B. Patients with symptoms rarely seen or reported.
C. Physicians with great diagnostic capabilities.
D. Senior citizens with difficulty using smartphones.
(
C
)8. What can be a suitable title for the text?A. AI: The Future of TCM
B. Doctors at Your Fingertips
C. Modernized TCM with AI
D. Integration of AI into Medicine
答案
5. B 解析:细节理解题。根据第二段中的“Users can now receive a detailed health report in under two minutes simply by taking a quick snapshot of their tongue.(用户现在只需快速拍一张舌头的照片,就可以在两分钟内收到一份详细的健康报告。)”可知,使用望舌问膳应用程序时,用户需要拍摄舌头的照片来进行咨询。故选B。
6. A 解析:段落大意题。根据第四段中的“A research team from the South China University of Technology developed an AI-powered TCM Constitution Identification Device based on machine learning models.(来自华南理工大学的研究团队基于机器学习模型开发了一种人工智能驱动的中医体质识别设备。)”及“In addition, other AI-driven innovations ... traditional medicine.(此外,其他人工智能驱动的创新技术,如处方系统、脉象信号采集系统、针灸机器人和按摩机器人,也正逐步进入公共使用领域,为传统医学带来了高科技的元素。)”可知,第四段介绍了广州自2023年7月以来在试点AI辅助中医服务方面的进展,包括基于机器学习模型的中医体质识别设备、处方系统、脉象信号采集系统、针灸机器人和按摩机器人等AI驱动创新的应用情况。由此可推断,第四段主要概述了AI驱动的中医创新的发展情况。故选A。
7. A 解析:推理判断题。根据最后一段中的“It holds significant promise for underserved areas with limited medical resources.(它对医疗资源有限的欠发达地区具有重要意义。)”可推断,医疗资源匮乏地区的居民最有可能从该小程序中受益。故选A。
8. C 解析:标题归纳题。根据全文内容,尤其是最后一段中的“Anyway, there is every reason to ... underserved areas with limited medical resources.(无论如何,有充分的理由相信,将AI融入中医将通过提高中医的可及性和效率深刻地改变医疗保健。它对医疗资源有限的欠发达地区具有重要的潜力。)”可知,文章主要讨论了AI技术如何融入中医领域,使得中医服务更加现代化、便捷和高效,特别是在提高医疗服务的可及性和效率方面。因此,C选项“AI助力下的现代中医”适合作本文标题。故选C。
6. A 解析:段落大意题。根据第四段中的“A research team from the South China University of Technology developed an AI-powered TCM Constitution Identification Device based on machine learning models.(来自华南理工大学的研究团队基于机器学习模型开发了一种人工智能驱动的中医体质识别设备。)”及“In addition, other AI-driven innovations ... traditional medicine.(此外,其他人工智能驱动的创新技术,如处方系统、脉象信号采集系统、针灸机器人和按摩机器人,也正逐步进入公共使用领域,为传统医学带来了高科技的元素。)”可知,第四段介绍了广州自2023年7月以来在试点AI辅助中医服务方面的进展,包括基于机器学习模型的中医体质识别设备、处方系统、脉象信号采集系统、针灸机器人和按摩机器人等AI驱动创新的应用情况。由此可推断,第四段主要概述了AI驱动的中医创新的发展情况。故选A。
7. A 解析:推理判断题。根据最后一段中的“It holds significant promise for underserved areas with limited medical resources.(它对医疗资源有限的欠发达地区具有重要意义。)”可推断,医疗资源匮乏地区的居民最有可能从该小程序中受益。故选A。
8. C 解析:标题归纳题。根据全文内容,尤其是最后一段中的“Anyway, there is every reason to ... underserved areas with limited medical resources.(无论如何,有充分的理由相信,将AI融入中医将通过提高中医的可及性和效率深刻地改变医疗保健。它对医疗资源有限的欠发达地区具有重要的潜力。)”可知,文章主要讨论了AI技术如何融入中医领域,使得中医服务更加现代化、便捷和高效,特别是在提高医疗服务的可及性和效率方面。因此,C选项“AI助力下的现代中医”适合作本文标题。故选C。
