{"title":"[Development and Application of Multi-RevRobot for the Translation of Clinical Evidence of Traditional Chinese Medicine].","authors":"Zhaochen Ji, Haiyin Hu, Zhiyuan He, Yazi Zhang, Xiaolei Wu, Zifan Sang, Jing Hu, Zhe Wang, Yunhua Xue, Junhua Zhang","doi":"10.12455/j.issn.1671-7104.250372","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>Under the background of policy guidance and technological development, the Multi-RevRobot for the translation of clinical evidence of traditional Chinese medicine (TCM) was developed to enhance the efficiency and applicability of clinical evidence translation in TCM.</p><p><strong>Methods: </strong>A prototype of Multi-RevRobot was designed and developed. This involved components such as the perception system, control system, execution system, power system, and interaction system. Universal model interfaces were integrated to connect with vertical large models and knowledge bases, enabling intelligent interaction. The artificial potential field method was combined with reinforcement learning to achieve efficient coordination between the robot's global path planning and local obstacle-avoidance decision-making. This allows the robot to be deployed and applied in various scenarios.</p><p><strong>Results: </strong>Multi-RevRobot features intelligent interaction, report generation, and multi-scenario adaptability. It provides a practical solution for TCM clinical evidence translation and plays corresponding roles in various scenarios.</p><p><strong>Conclusion: </strong>Multi-RevRobot is expected to serve as a clinical and research assistant for doctors, researchers, patients, and other groups. It can improve the efficiency of TCM-related work and facilitate the intelligent and efficient translation and application of TCM evidence.</p>","PeriodicalId":52535,"journal":{"name":"中国医疗器械杂志","volume":"50 2","pages":"119-128"},"PeriodicalIF":0.0000,"publicationDate":"2026-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"中国医疗器械杂志","FirstCategoryId":"1087","ListUrlMain":"https://doi.org/10.12455/j.issn.1671-7104.250372","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
Abstract
Objective: Under the background of policy guidance and technological development, the Multi-RevRobot for the translation of clinical evidence of traditional Chinese medicine (TCM) was developed to enhance the efficiency and applicability of clinical evidence translation in TCM.
Methods: A prototype of Multi-RevRobot was designed and developed. This involved components such as the perception system, control system, execution system, power system, and interaction system. Universal model interfaces were integrated to connect with vertical large models and knowledge bases, enabling intelligent interaction. The artificial potential field method was combined with reinforcement learning to achieve efficient coordination between the robot's global path planning and local obstacle-avoidance decision-making. This allows the robot to be deployed and applied in various scenarios.
Results: Multi-RevRobot features intelligent interaction, report generation, and multi-scenario adaptability. It provides a practical solution for TCM clinical evidence translation and plays corresponding roles in various scenarios.
Conclusion: Multi-RevRobot is expected to serve as a clinical and research assistant for doctors, researchers, patients, and other groups. It can improve the efficiency of TCM-related work and facilitate the intelligent and efficient translation and application of TCM evidence.
期刊介绍:
Chinese Journal of Medical Instrumentation mainly reports on the development, progress, research and development, production, clinical application, management, and maintenance of medical devices and biomedical engineering. Its aim is to promote the exchange of information on medical devices and biomedical engineering in China and turn the journal into a high-quality academic journal that leads academic directions and advocates academic debates.