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

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。

The Disciplinary Diversity of Artificial Intelligence and Its Convergence with Biomedicine

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.