Habli Ibrahim, Sujan Mark, Lawton Tom
Centre for Assuring Autonomy, University of York, United Kingdom.
Improvement Academy, Bradford Institute for Health Research, United Kingdom.
Future Healthc J. 2024 Sep 19;11(3):100179. doi: 10.1016/j.fhj.2024.100179. eCollection 2024 Sep.
We challenge the dominant technology-centric narrative around clinical AI. To realise the true potential of the technology, clinicians must be empowered to take a whole-system perspective and assess the suitability of AI-supported tasks for their specific complex clinical setting. Key factors include the AI's capacity to augment human capabilities, evidence of clinical safety beyond general performance metrics and equitable clinical decision-making by the human-AI team. Proactively addressing these issues could pave the way for an accountable clinical buy-in and a trustworthy deployment of the technology.
我们对围绕临床人工智能的以技术为中心的主流叙事提出质疑。为了实现该技术的真正潜力,必须赋予临床医生从全系统角度出发的权力,以便评估人工智能支持的任务在其特定复杂临床环境中的适用性。关键因素包括人工智能增强人类能力的能力、超出一般性能指标的临床安全性证据以及人机团队公平的临床决策。积极解决这些问题可为临床医生负责的接受和该技术的可靠部署铺平道路。