摘要
随着智慧医疗关键技术的创新和突破,积极探索以人工智能为核心技术的智慧型急诊急救的措施与方法将有助于提升急诊医护团队的急危重症诊疗能力。该文综述了人工智能在院前院内诊疗能力与体系建设等方面的应用现状,并阐述了其面临的挑战和可能的应对策略,为新一轮科技革命浪潮中“人工智能+急诊医学”产学研的深度融合发展提供参考。
With the innovation and breakthrough of key technologies in smart medicine,actively exploring smart emergency measures and methods with artificial intelligence as the core technology is helpful to improve the ability of emergency medical team to diagnose and treat acute and critical diseases.This paper reviews the application status of artificial intelligence in pre-hospital and in-hospital diagnosis and treatment capabilities and system construction,expounds on the challenges it faces and possible coping strategies,and provides a reference for the indepth integration and development of“artificial intelligence+emergency medicine”education,research and production during the new wave of scientific and technological revolution.
作者
姚鹏
唐时元
蒋耀文
曹钰
YAO Peng;TANG Shiyuan;JIANG Yaowen;CAO Yu(Department of Emergency Medicine,Laboratory of Emergency Medicine,West China School of Medicine/West China Hospital,Sichuan University,Chengdu,Sichuan 610041,P.R.China;Disaster Medical Center,Sichuan University,Chengdu,Sichuan 610041,P.R.China)
出处
《华西医学》
CAS
2022年第11期1601-1606,共6页
West China Medical Journal
基金
四川省科学技术厅重点研发项目(2021YFS0023)
四川省卫生厅干部保健项目(川干研ZH2022-101)
成都市科学技术局重点研发项目(2021-YF05-01576-SN)。
关键词
急诊医学
人工智能
机器学习
深度学习
Emergency medicine
artificial intelligence
machine learning
deep learning