Zhou Quan, Qi Suwen, Xiao Bin, Li Qiaoliang, Sun Zhaohui, Li Linhai
Department of Medical Laboratory, General Hospital of Southern Theater of PLA, Guangzhou 51010, China.
Department of In vitro Diagnostics, School of Biomedical Engineering, Shenzhen University, Shenzhen 518037, China.
Nan Fang Yi Ke Da Xue Xue Bao. 2020 Feb 29;40(2):287-296. doi: 10.12122/j.issn.1673-4254.2020.02.23.
Since 2017, China, the United States, and the European Union have successively issued national-level artificial intelligence (AI) strategic development plans, and the human history is about to witness the 4th industrial revolution with the theme of "intelligence". In the field of medical testing, the explosive growth of AI theories and technologies also provide a new direction for the development of medical testing theory, methods and applications. We review the evolution of AI and the recent progress in three major elements of AI, namely algorithms, data and computing power, and elaborate on the combined innovation of "AI + testing" in light of the key application dimensions of medical testing. The major applications include specimen collection robots, sample dilution robots and sample transfer robots involved in the processing of test specimens; test item mining such as tumor markers and pharmacogenomics; cytomorphology, laboratory medicine data processing, auxiliary diagnostic models, and internet-based medical tests. With the advent of the era of Industry 4.0, AI technology will promote the development of medical testing from automation to a highly intelligent stage.
自2017年以来，中国、美国和欧盟相继发布了国家级人工智能（AI）战略发展规划，人类历史即将见证以“智能”为主题的第四次工业革命。在医学检验领域，AI理论和技术的爆发式增长也为医学检验理论、方法及应用的发展提供了新方向。我们回顾了AI的发展历程以及AI三个主要要素（即算法、数据和算力）的最新进展，并结合医学检验的关键应用维度阐述了“AI+检验”的融合创新。主要应用包括参与检验标本处理的标本采集机器人、样本稀释机器人和样本转移机器人；肿瘤标志物和药物基因组学等检验项目挖掘；细胞形态学、检验医学数据处理、辅助诊断模型以及基于互联网的医学检验。随着工业4.0时代的到来，AI技术将推动医学检验从自动化发展到高度智能化阶段。
