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  • 主管单位:
  • 上海市教育委员会
  • 主办单位:
  • 上海理工大学
  • 主  编:
  • 盛 春
  • 地  址:
  • 上海市军工路516号
  • 邮政编码:
  • 200093
  • 联系电话:
  • 021-33817286
  • 电子邮件:
  • xbskb@usst.edu.cn
  • 国际标准刊号:
  • 1009-895X
  • 国内统一刊号:
  • 31-1853/C
  • 单  价:
  • 10.00
  • 定  价:
  • 40.00
蔡永莲,彭颢舒.人工智能技术的学科多样性及其与生物医药领域的融合发展[J].上海理工大学学报(社科版),2023,45(3):330-336.
人工智能技术的学科多样性及其与生物医药领域的融合发展
The Disciplinary Diversity of Artificial Intelligence and Its Convergence with Biomedicine
投稿时间:2023-04-10  
DOI:10.13256/j.cnki.jusst.sse.230410166
中文关键词:  WOS分类  人工智能  生物医药  学科融合  学科多样性
英文关键词:WOS Categories  artificial intelligence  biomedicine  disciplinary integration  disciplinary diversity
基金项目:
作者单位
蔡永莲 上海理工大学 校长办公室, 上海 200093 
彭颢舒 中国科学院 上海高等研究院, 上海 201210 
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中文摘要:
      人工智能的学科多样性及其融合发展趋势,对认识学科数字化智能化发展特征、发现学科交叉融合发展的规律并指导相关学科领域更广泛地数字产业化应用有着重要的价值和指导意义。利用Loet Leydesdorff等提出的学科多样化测评指标体系对人工智能技术的学科融合发展态势进行测度,并进一步分析了人工智能与生物医药领域的融合。发现:人工智能技术与Web of Science数据库中其他学科领域的交叉融合在近10年随时间加速扩展;而且在254个WOS的学科分类当中,有106个学科分类与人工智能领域有交叉,其中有近1/3的学科方向与生物医药相关。通过进一步分析和专家访谈发现,人工智能与生物医药领域的融合发展推动了数据分析预测、药物研发与个性化医疗、医学影像分析、基因组学和蛋白质组学研究以及健康管理和预防等领域的发展。
英文摘要:
      Disciplinary diversity and convergent development trends of artificial intelligence is significant for understanding the characteristics of digitalization and automation development, discovering the laws of interdisciplinary integration and guiding the broader applications in digital industrial fields. This paper chooses the evaluation index system proposed by Loet Leydesdorff et al. to measure the trend of disciplinary convergence in artificial intelligence technology, and further analyze its convergence with biomedicine. The results show that cross-disciplinary integration between artificial intelligence technology and other disciplines in the Web of Science database has been expanding rapidly over the past decade, and among the 254 subject categories in the WOS, 106 subject categories have integration with artificial intelligence, of which nearly one-third are related to biomedicine. Further analysis of expert interviews indicates that the convergent development of artificial intelligence and biomedicine has promoted the such area development as data analysis and prediction, drug discovery and personalized medicine, medical image analysis, genomics and proteomics research, and health management and prevention. Moreover, China's institutions conducting interdisciplinary research on artificial intelligence and biomedicine are at the forefront in terms of scale.
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