首页|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)

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)

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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."

ShanghaiPeople's Republic of ChinaAs iaArtificial IntelligenceEmerging TechnologiesHospitalsMachine LearningShanghai University of Traditional Chinese Medicine

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Jun.20)