AI可自主处理部分病患决策，提升医疗团队效率与安全。
The case for delegated AI autonomy for Human AI teaming in healthcare
- AI根据预设规则自主决策，其余情况辅助医生
- 减少医生审阅时间，提升整体诊疗表现
- 适合需高效精准的临床决策场景
本文提出一种先进的医疗AI整合方法：自主决策支持。该方法使AI在符合定义的特定患者病例中自主行动，而在其他病例中作为辅助角色。通过发挥人机互补优势，目标是超越现有医患协同模型的整体性能。该机制确保患者处理安全，可能降低临床医生的审阅时间，同时考虑了AI工具的局限性。文章在现有医患协同模型背景下阐述了委托准则，并将其应用于一个用于组织病理学的AI工具。随后讨论了该方法的潜在影响及成功实施所需的监管要求。
原文摘要 · Abstract (English)
In this paper we propose an advanced approach to integrating artificial intelligence (AI) into healthcare: autonomous decision support. This approach allows the AI algorithm to act autonomously for a subset of patient cases whilst serving a supportive role in other subsets of patient cases based on defined delegation criteria. By leveraging the complementary strengths of both humans and AI, it aims to deliver greater overall performance than existing human-AI teaming models. It ensures safe handling of patient cases and potentially reduces clinician review time, whilst being mindful of AI tool limitations. After setting the approach within the context of current human-AI teaming models, we outline the delegation criteria and apply them to a specific AI-based tool used in histopathology. The potential impact of the approach and the regulatory requirements for its successful implementation are then discussed.
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