论文标题
医疗系统临床AI模型开发生命周期的概述和案例研究
An Overview and Case Study of the Clinical AI Model Development Life Cycle for Healthcare Systems
论文作者
论文摘要
医疗保健是机器学习模型最有希望的领域之一，以产生积极的影响。但是，成功采用基于AI的系统在医疗保健中取决于与来自不同背景的AI模型发展过程的参与和教育利益相关者。我们介绍了临床AI模型的开发生命周期的广泛概述，该模型足以适应大多数机器学习项目，然后对基于深度学习的系统的开发过程进行深入研究，以检测计算机断层扫描（CT）检查中主动脉瘤动脉瘤。我们希望其他医疗机构和临床从业人员能够发现我们分享的有关开发过程的见解有助于告知其自己的模型开发工作，并增加成功部署和整合AI在医疗保健中的可能性。
Healthcare is one of the most promising areas for machine learning models to make a positive impact. However, successful adoption of AI-based systems in healthcare depends on engaging and educating stakeholders from diverse backgrounds about the development process of AI models. We present a broadly accessible overview of the development life cycle of clinical AI models that is general enough to be adapted to most machine learning projects, and then give an in-depth case study of the development process of a deep learning based system to detect aortic aneurysms in Computed Tomography (CT) exams. We hope other healthcare institutions and clinical practitioners find the insights we share about the development process useful in informing their own model development efforts and to increase the likelihood of successful deployment and integration of AI in healthcare.
