医学
文档
自动化
慢性疼痛
数据科学
医疗保健
风险分析(工程)
计算机科学
机械工程
精神科
工程类
经济
程序设计语言
经济增长
标识
DOI:10.1097/eja.0000000000002234
摘要
In the next 25 years, we will see unprecedented technological progress due to the artificial intelligence (AI) revolution. AI-driven advances will be made in five strongly interconnected domains: reenergised drug discovery, continuous real-time monitoring, personalised medicine, automation and decentralised care. Drug discovery will move from in vitro to in silico approaches. We will identify molecules that fit protein targets and protein targets that fit molecules, allowing us to better understand mechanisms of anaesthesia and pain. Improved monitoring of physiological and biological variables will lead to better assessment and prediction of haemodynamics, anaesthetic depth and nociception. Anaesthetic care will be personalised by AI-driven analysis of population, personal and biomarker data, as well as an understanding of the values and wishes of patients. Automation will streamline routine tasks in hospitals, especially in relation to documentation and service delivery. Remote monitoring and assistance systems will help patients receive more of their care at home. The introduction of AI may have unforeseen consequences, especially for equity, sustainability and the future of work. We must think deeply about the future role of anaesthesiologists and ensure that we are involved in redesigning our role. AI can simulate empathy, and will do so increasingly well, but most of us will not be deceived because it is not the human-to-human connection that we crave. Perhaps the greatest gift of AI in anaesthesia practice will be that we come to value what it means to be human.
科研通智能强力驱动
Strongly Powered by AbleSci AI