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医疗人工智能企业发展现状分析

文章摘要

中国医疗人工智能产业目前处于早期发展阶段,疾病风险预测、医学影像领域的企业数量较多。我国医疗人工智能企业超过90%位于北京、上海、广东、浙江、江苏等东部沿海地区。近90%的医疗人工智能企业的研发团队是最近五年成立的。Tensorflow是最受欢迎的深度学习框架。在医疗人工智能产品的研发中,投入最多的是人力成本,资本是现阶段行业发展的重要推动力。目前,复合型人才缺乏、医疗数据标准与共享的相关法律法规不完备、产品认证体系不完善、医疗机构合作模式不明确等问题是行业发展的主要问题。

Abstract

Currently,China’s medical artificial intelligence industry is at an early stage,with a large number of enterprises engaged in disease risk prediction and medical imaging. More than 90 percent of China’s medical artificial intelligence enterprises are located in the eastern coastal areas,such as Beijing City,Shanghai City,Guangdong Province,Zhejiang Province and Jiangsu Province. Nearly 90 percent of medical artificial intelligence companies’ research and development teams were established in the last five years. Tensorflow remains the most popular deep learning framework. In the research and development of medical artificial intelligence products,human cost is the largest input,and capital is an important driving force for the development of the industry at the present stage. At present,problems such as interdisciplinary talent training,standards and sharing of medical data,relevant laws and regulations,product certification,cooperation mode of medical institutions are the main issues affecting the development of the industry.

作者简介
黄桂芳:黄桂芳,清华珠三角研究院人工智能中心AI工程师。
宋博强:宋博强,北京大学智慧城市研究中心博士后,副研究员,主任助理,博士。
韩蓝青:韩蓝青,清华珠三角研究院人工智能中心主任,硕士。
李雪:李雪,《中国数字医学》杂志社社长助理。