Robotics & Machine Learning Daily News2024,Issue(Jun.20) :62-63.

New Artificial Intelligence Data Have Been Reported by Researchers at Shanghai U niversity of Traditional Chinese Medicine (Artificial Intelligent Human-computer Dialogue Support Platform for Hospitals)

上海中医药大学(医院人工智能人机对话支持平台)的研究人员报告了新的人工智能数据

Robotics & Machine Learning Daily News2024,Issue(Jun.20) :62-63.

New Artificial Intelligence Data Have Been Reported by Researchers at Shanghai U niversity of Traditional Chinese Medicine (Artificial Intelligent Human-computer Dialogue Support Platform for Hospitals)

上海中医药大学(医院人工智能人机对话支持平台)的研究人员报告了新的人工智能数据

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摘要

由一名新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-人工智能的新数据在一份新的报告中呈现。本文根据《中华人民共和国上海消息》,根据NewsRx通讯记者的研究报道:“为了设计一种对话模型和标准人工编程接口(API),设计了一种将病人预诊断、诊断等功能结合起来的面向医疗服务系统的智能对话支持,提高医院的智能化服务能力。”这是一个基于多维疾病模型的适合于医疗服务的智能人机对话支持平台(MMDSP),以人工智能为基础的门诊知识库。本研究经费来源于国家自然科学基金(NSFC)。新闻记者从上海中医药大学的研究中得到一句话:“医院服务系统和平台的智能化服务能力大大提高了患者的医疗体验,规范了多渠道服务流程,提高了患者服务效率,降低了人力资源和商业知识学习成本。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on Artificial Intelligence are presented in a new report. According to news originating from Shanghai, Peop le's Republic of China, by NewsRx correspondents, research stated, "To design a dialogue model and standard artificial programming interface (API), this paper d esigns an intelligent dialogue support for medical service systems and improving hospital intelligent serviceability, which combines patient pre-diagnosis, diag nosis, and post-diagnosis services with artificial intelligence depth. This is d one via an intelligent man-machine dialogue support platform (MMDSP) suitable fo r medical services based on a multi-dimensional disease model and outpatient kno wledge base with artificial intelligence." Financial support for this research came from National Natural Science Foundatio n of China (NSFC). Our news journalists obtained a quote from the research from the Shanghai Univer sity of Traditional Chinese Medicine, "As a result of the intelligent service ca pability of the hospital service systems and platforms, patients' medical experi ences have significantly improved. The platform standardizes the multichannel s ervice process, improves patient service efficiency, and reduces the cost of hum an resources and business knowledge learning."

Key words

Shanghai/People's Republic of China/As ia/Artificial Intelligence/Emerging Technologies/Hospitals/Machine Learning/Shanghai University of Traditional Chinese Medicine

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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