East Meets West: Will AI Transform TCM?


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East Meets West: Will AI Transform TCM?
Image credit: Lianhe Zaobao

Snap a photo of your tongue with your phone, answer a few simple health-related questions, to uncover insights about your physical condition. 

This is one of the new AI-powered products developed by Synapxe. The main feature is the integration of Traditional Chinese Medicine (TCM) tongue diagnosis with big data models, allowing users to assess their health condition directly from their smartphones.

The app, named "Synseh" (pronounced similarly to "sinseh," the colloquial term for a TCM physician), is currently in the proof-of-concept (POC) stage. With just a photo of your tongue and completion of a brief questionnaire, the app quickly generates a personalised report. The report will identify your body constitution type and provide personalised advice on diet and daily routines.

From TCM to data analysis. Is this modern-day fusion a dream come true?

Data analytics and AI expert, Ong Yan Chun, is one of the key developers of the "Synseh" app. Before delving into data science, she was a licensed TCM practitioner with two years of clinical experience. Since young, Yan Chun developed an interest in nutrition and later turned to TCM due to frequent sports injuries during her time on the track and field team. In university, she pursued a double degree in TCM and biological sciences at Nanyang Technological University.

After practising at a local TCM clinic for two years, Yan Chun realised that technology could improve healthcare, for instance, by using AI for triage to reduce workload. She then enrolled in data science courses, merging her medical knowledge with data science to embark on the digital transformation journey.

During the interview, the reporter challenged her. First, she was tasked to conduct a diagnosis using traditional TCM methods like observation, listening, questioning, and pulse-taking. Afterwards, the reporter tried the Synseh app for comparison.

Behind this seemingly simple process lies extensive research and repeated testing by a dedicated development team. The development team collaborated closely with lecturers and practitioners from the Singapore College of Traditional Chinese Medicine to annotate tongue image features such as cracks, teeth marks, and red spots. These annotations were then evaluated by senior TCM physicians to build a comprehensive database.

Ong Yan Chun said, "Tongue diagnosis is just our first step into digitising TCM diagnosis. We hope this POC development will help us evaluate the potential of applying AI in Singapore's TCM industry.”

TCM massage combined with diagnosis - "EMMA" empowers TCM practitioners to focus more on treatment

“Many people confuse TCM massage with regular massage. “Tui Na” is a therapeutic massage rooted in Traditional Chinese Medicine, whereas regular massage is typically for relaxation. The two are actually quite different.”

During the interview, He Jingyi noticed the reporter’s enthusiasm for a "relaxing experience" and made sure to clarify this distinction first. He Jingyi is a practising TCM physician currently pursuing her Ph.D. Her recent three-year doctoral research focuses on how the AI-powered TCM massage robot “EMMA” can enhance TCM treatment efficacy.

The EMMA “Tui Na” robot was developed in 2015 by Dr Zhang Yizhong and his AiTreat team. Since its deployment in 2017 at Xin Yi Guan TCM Clinic, it has performed over 100,000 “Tui Na” sessions. He further explained that AI applications in TCM may seem limited because many assume TCM is too traditional to align with technology.

“In China, AI is already widely used in TCM. For example, students from established TCM physicians' clinics are inputting their mentors’ diagnostic expertise into big data systems, allowing AI to replicate their thought processes. The results have shown that diagnoses made by AI and master TCM physicians are remarkably accurate and closely aligned.”

So, what benefits does this AI-powered “Tui Na” robot offer patients? How does it differ from traditional TCM?

Lin Huimin, a co-founder of EMMA and also a practising TCM physician, pointed out that EMMA can detect muscle tension changes during treatment and automatically adjust pressure if the patient finds it too strong. Additionally, it compares muscle conditions on both sides of the body and generates a diagnostic report based on acupoint responses, assisting TCM practitioners in planning follow-up treatments. Finally, unlike human therapists, EMMA doesn’t tire out, and its pressure is computer-controlled, making it ideal for repetitive “Tui Na” techniques, reducing the physical strain on TCM practitioners.

He Jingyi emphasised that EMMA isn’t meant to replace “Tui Na” therapists. Complex techniques and follow-up treatments still require the traditional TCM practitioner. Unlike traditional “Tui Na” sessions, where patients describe their symptoms and improvements subjectively, EMMA provides measurable data, allowing for better tracking of treatment progress and outcomes

中西合璧:AI重塑再世华佗?

手机拍下舌头,回答简单的健康状况问题,属于你的身体状况诊断就出来了。

这是新联科技(Synapxe)一系列运用人工智能(AI)技术的新产品之一,特点是结合中医的舌诊和大数据模型,让使用者在手机上就能掌握身体状况。

这款应用名为“Synseh”(音同“sinseh”,即中医师),目前还在概念验证阶段。只须一张舌头照片、填写简单问卷,应用就能快速生成专属报告。报告中会得知自己自己属于哪种体质,并获得饮食和生活起居方面的调养建议。

从中医到数据分析 再世华佗不是梦?

数据分析与人工智能高级专家王彦淳是“Synseh”应用的主创人员之一。她在投入数据分析之前,是一名合格的中医师,曾行医两年。王彦淳自小对营养学感兴趣,后来因为参与田径队活动常受伤而接触了中医。大学时,她报考了南洋理工大学的中医与生物学双学位课程。 

在本地中医诊所行医两年后,王彦淳觉得科技能改善医疗现况,例如利用AI分诊减轻负担等,于是她报读了数据科学,将医疗知识与数据科学进行结合,开启自身的数码转型之路。

记者采访当日挑战了王彦淳,先是让她以中医师看诊的方式,通过望闻问切来进行诊断;之后再通过Synseh应用进行测试。

看似简单的过程,背后除了有强大的研究团队进行反复测试,开发团队特别与新加坡中医学院的讲师和中医师合作,为舌头图像标注裂纹、齿痕、红点等特征,并由资深中医师评估,建立相关数据库。

王彦淳说:“舌象分析只是我们迈入中医领域的第一步。我们希望通过这一尝试,评估人工智能应用于本地中医领域的潜力。”

推拿结合看诊 “艾玛”让中医师更专注治疗

“很多人误解推拿与按摩——推拿是中医里的一种治疗方式,而按摩是休闲放松的服务,两者其实是不同的。”

采访何敬仪时,她看记者兴致勃勃想要来“享受”,特意先提醒记者。何敬仪是在职中医师,同时也在修读博士学位。她最近开始了长达三年的博士论文研究,探讨结合AI技术的推拿机器人EMMA(艾玛)如何更好帮助达到更好的疗效。

EMMA推拿机器人于2015年由张艺钟博士率领的AiTreat团队研发,2017年在新医馆中医诊所投入服务,至今已累积至少10万次的推拿疗程。何敬仪说,AI在中医上的应用看似不广,原因是大家误会中医是很传统的,与科技大相径庭。

“但其实在中国,AI在中医的应用已经很广泛。例如,有些名老中医工作室的学生,会把名老中医的看诊经验输入大数据中,最后AI看诊的思路与诊断与名老中医的非常接近。”

那作为一名患者,这台结合AI技术的推拿机器人又有何帮助?它与一般的中医推拿有什么不同呢?

EMMA的创始人之一,同是在职中医师的林慧敏指出,EMMA在推拿时能感受到肌肉的变化,若是患者觉得力度太大会自动进行调整。另外,EMMA会比较左右两边肌肉的不同,根据推拿时的相应穴位,整理出一份“诊断报告”,协助中医师进行后续的疗程。最后,EMMA推拿机器人不会累,且力度是通过电脑设置的,适合用在重复性的推拿手法治疗,减轻推拿师的负担。

何敬仪说,EMMA不是用来取代推拿师的,一些复杂的治疗手法或是后续的治疗都需要推拿师进行。另外,以往推拿患者可能凭感觉叙述症状和疗效,但现在有了数据,治疗的过程和效果可以更好地记录下来。

Source: Lianhe Zaobao © Singapore Press Holdings Limited | Reproduced with permission.

 

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