Integrating Traditional Chinese Medicine massage therapy with machine learning: A new trend in future healthcare
Journal Title: Progress in Medical Devices - Year 2024, Vol 2, Issue 3
Abstract
The growing demand for healthcare has brought Traditional Chinese Medicine (TCM) massage therapy into the spotlight in academic circles. Numerous studies have underscored the effectiveness of TCM massage in health promotion, disease amelioration, and quality of life enhancement. However, the field faces challenges such as inconsistent training and inadequate transfer of experiential knowledge. Recently, machine learning has shown potential in the medical field and its application in TCM massage therapy offers new developmental opportunities. This paper reviews key research areas exploring the synergy between machine learning and Chinese massage therapy, including acupoint localization and identification, massage practice, and personalized treatment plans. It summarizes progress and identifies the challenges in integrating these technologies. Despite potential risks, merging these technologies is poised to be a trend in future healthcare, driven by advances in computer technology and the needs of TCM practitioners.
Authors and Affiliations
Yichun Shen, Shuyi Wang, Yuhan Shen, Hua Xing
Keywords
Related Articles
- EP ID EP750326
- DOI 10.61189/721472czacxf
- Views 40
- Downloads 0
On Launching a New Journal 'Progress in Medical Devices' for Innovation
Recent years have witnessed unprecedented advances in medical device industry. New technologies, such as 3D printing, organ-on-a-chip, and surgical robots, have emerged and iterated constantly. Innovation is the cornerst...
Online recognition method for walking patterns of intelligent knee prostheses based on CNN-LSTM algorithm
To enhance the adaptive learning, self-organization, and fault tolerance capabilities of gait pattern recognition in intelligent knee prostheses, an online walking pattern recognition method based on the convolutional ne...
Advancements in finite element analysis for prosthodontics
Finite element analysis (FEA) is a computer-aided tool widely employed in the field of prosthodontics, offering a comprehensive understanding of biomechanical behavior and assisting in the design and evaluation of dental...
Construction and comparative analysis of an early screening prediction model for fatty liver in elderly patients based on machine learning
Objective: To construct a prediction model for fatty liver disease (FLD) among elderly residents in community using machine learning (ML) algorithms and evaluate its effectiveness. Methods: The physical examination data...
Progress of near-infrared spectroscopy in cerebral blood oxygenation detection: A mini review
In contrast to conventional oximeters, near-infrared spectroscopy-based brain tissue oximetry monitoring devices are capable of non-invasive, continuous, and real-time quantitative monitoring of cerebral oximetry paramet...