Research on Development and Challenges of Chinese Medical Artificial Intelligence

Zhou Ziang, Lee Jihaeng
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引用次数: 1

Abstract

Medical artificial intelligence is the research focus and development orientation of China's current health informationization. Medical artificial intelligence can transform and upgrade modern medical service industry as well as promoting the innovation and development of health industry constantly. In July 2017, the State Council of China issued the “New Generation Artificial Intelligence Development Plan”, which proposed to promote the application of the new modes and new methods of artificial intelligence treatment in smart health care, establishing precise smart medical system and comprehensively improving the intelligent level of health industry, including, specifically, the development of human-machine coordination surgical robots, intelligent diagnosis and treatment, the R&D of a physiological monitoring system which is wearable and biocompatible and the R&D of programs on human-computer collaborative clinical intelligent diagnosis and treatment, so as to realize the intelligent image recognition, pathological classification and intelligent multidisciplinary consultation, promote intelligent medical supervision and strengthen epidemiological intelligence surveillance and prevention. However, the development of China's medical artificial intelligence technology will bring both new opportunities and new challenges in the meantime. This paper analyzes how to deal with the problems and risks that medical artificial intelligence may bring and how to ensure its development in a safe and controllable way based on the growing trend and usage of medical artificial intelligence in China.
中医人工智能的发展与挑战研究
医疗人工智能是当前中国健康信息化的研究重点和发展方向。医疗人工智能可以改造和提升现代医疗服务业,也可以不断促进健康产业的创新和发展。2017年7月,中国国务院发布《新一代人工智能发展规划》,提出推动人工智能诊疗新模式新方法在智慧医疗领域的应用,建立精准智慧医疗体系,全面提升健康产业智能化水平,具体包括研发人机协同手术机器人、智能诊疗、研发可穿戴生物相容性生理监测系统,研发人机协同临床智能诊疗方案,实现智能图像识别、病理分类和智能多学科会诊,推进智能医疗监管,加强流行病学情报监测和预防。然而,中国医疗人工智能技术的发展同时也会带来新的机遇和挑战。本文结合中国医疗人工智能的发展趋势和使用情况,分析了如何应对医疗人工智能可能带来的问题和风险,如何确保医疗人工智能在安全可控的情况下发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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