Developing a medical imaging AI development and evaluation platform

人工智能工具在评估医学成像和帮助医疗保健专业人员提高图像解释速度和准确性方面显示出了前景。然而，由于一些原因，医疗机构对这些算法的采用速度很慢。其中最主要的是对算法性能缺乏信任。在做出购买决定之前，临床医生希望尝试算法来测试它们的可用性和准确性。这需要将算法与实时临床IT系统集成，这需要医院技术和信息治理团队的输入，这是实施的主要障碍。此外，在购买之后，需要对员工进行如何使用算法的培训。该项目旨在通过加速采用人工智能（AI）进行医学图像解释来改善NHS诊断途径。为此，RAIQC有限公司旨在开发一个基于云的平台，作为培训、测试和部署人工智能算法的端到端解决方案。利用这一平台，人工智能开发人员将能够进行人工智能临床试验，以围绕其人工智能工具的有效性、可用性和健康经济价值产生证据。该平台还将允许医疗保健提供者在将算法部署到临床实践之前试用算法，并能够培训其员工安全使用这些工具。在项目的第一阶段，RAIQC有限公司将把商业人工智能开发商、学术组织和医疗成像人工智能的最终用户（如医院和医疗保健专业人员）聚集在一起。该小组将能够概述每个利益相关者在医学成像人工智能开发和转化为临床实践中的需求。RAIQC有限公司还将与利益相关者合作，为人工智能开发和部署途径的每个阶段定义技术要求。

AI tools have shown promise in being able to evaluate medical imaging and aid healthcare professionals with their image interpretation speed and accuracy. However, the uptake of these algorithms by healthcare organisations has been slow for a number of reasons. Primary among this has been a lack of trust in the performance of algorithms. Before making a purchase decision, clinicians want to try algorithms to test their usability and accuracy. This requires integrating algorithms with live clinical IT systems which needs input from technical and information governance teams at the hospitals and is a major barrier to implementation. Moreover, after purchase, there is a requirement for staff to be trained in how touse the algorithms.The project aims to improve NHS diagnostic pathways by accelerating adoption of artificial intelligence (AI) for medical image interpretation. To do this, RAIQC Ltd aims to develop a cloud-based platform that acts as an an end-to-end solution for training, testing and deploying AI algorithms.Using this platform, AI developers will be able to perform _insilico_ clinical trials to generate evidence around the efficacy, usability and health economic value of their AI tools. The platform will also allow healthcare providers to trial algorithms prior to deploying them into clinical practice as well as being able to train their staff in safe use of these tools.During phase 1 of the project, RAIQC Ltd will bring together a consortium of commercial AI developers, academic organisations and end users of medical imaging AI such as hospitals and healthcare professionals. The group will be able to outline needs of each stakeholder in the development and translation of medical imaging AI into clinical practice. RAIQC Ltd will also work with the stakeholders to define the technical requirements for each stage of the AI development and deployment pathway.