AIAug 1, 2024

HBot: A Chatbot for Healthcare Applications in Traditional Chinese Medicine Based on Human Body 3D Visualization

arXiv:2408.00481v11 citationsh-index: 6
Originality Synthesis-oriented
AI Analysis

This addresses the problem of making TCM consultations more accessible and visual for users, particularly in elderly care and training scenarios, though it is incremental as it applies existing chatbot and visualization techniques to a specific domain.

The paper tackles the challenge of intuitively displaying traditional Chinese medicine (TCM) concepts like acupuncture points in healthcare chatbots by developing HBot, a chatbot that integrates a 3D human body model and knowledge graph to provide services such as knowledge Q&A and acupoint search, with the 3D model highlighting specific acupoints during conversations.

The unique diagnosis and treatment techniques and remarkable clinical efficacy of traditional Chinese medicine (TCM) make it play an important role in the field of elderly care and healthcare, especially in the rehabilitation of some common chronic diseases of the elderly. Therefore, building a TCM chatbot for healthcare application will help users obtain consultation services in a direct and natural way. However, concepts such as acupuncture points (acupoints) and meridians involved in TCM always appear in the consultation, which cannot be displayed intuitively. To this end, we develop a \textbf{h}ealthcare chat\textbf{bot} (HBot) based on a human body model in 3D and knowledge graph, which provides conversational services such as knowledge Q\&A, prescription recommendation, moxibustion therapy recommendation, and acupoint search. When specific acupoints are involved in the conversations between user and HBot, the 3D body will jump to the corresponding acupoints and highlight them. Moreover, Hbot can also be used in training scenarios to accelerate the teaching process of TCM by intuitively displaying acupuncture points and knowledge cards. The demonstration video is available at https://www.youtube.com/watch?v=UhQhutSKkTU . Our code and dataset are publicly available at Gitee: https://gitee.com/plabrolin/interactive-3d-acup.git

Foundations

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