AI Trust Audit - A novel solution and process to advance trust in the compliance and risk of AI systems in radiology

放射学人工智能产品有可能通过改善患者治疗结果、减少错误和提高效率来彻底改变医疗保健行业。然而，由于对可靠性、健壮性和遵从性的担忧，这些产品的采用一直很缓慢。人工智能系统的开发和测试缺乏透明度，引发了人们对其安全性和有效性的质疑。人工智能信任审计项目旨在开发一种新的解决方案，以提高对人工智能系统审计、影响评估或评估、放射学人工智能产品的可靠性和稳健性测试的合规性和风险的信任。随着放射学人工智能产品的应用越来越广泛，越来越需要确保它们可靠、值得信赖，并对患者和医疗保健提供者产生积极影响，该项目至关重要。拟议的解决方案将是一个基于软件的人工智能信任审计工具，该工具将使用机器学习算法来评估放射学人工智能产品的合规性、风险和可靠性。该工具将执行自动化测试和审计，以及影响和风险评估，以识别这些产品可靠性的潜在问题。该工具将被设计为与现有的放射学工作流程和软件系统无缝集成，使医疗保健提供者易于使用和采用。该项目将对患者、医疗保健提供者和更广泛的医疗保健行业产生重大影响。人工智能信任审计工具将通过在放射学人工智能产品造成伤害之前识别和解决潜在问题来提高患者安全。它还将使医疗保健提供商对这些产品的可靠性和性能更有信心，从而提高采用率并改善患者的治疗效果。除了对患者治疗结果的积极影响外，该项目还将通过支持新的创新医疗保健技术的发展而使英国经济受益。总体而言，人工智能信任审计项目是确保放射学人工智能产品安全有效使用的关键一步。通过开发一种全面的自动化工具来解决这些产品的独特挑战和风险，该项目有可能彻底改变放射学人工智能产品的测试、评估和审计方式。

Radiology AI products have the potential to revolutionise the healthcare industry by improving patient outcomes, reducing errors, and increasing efficiency. However, the adoption of these products has been slow due to concerns over their reliability, robustness, and compliance. The lack of transparency in the development and testing of AI systems has raised questions about their safety and effectiveness.The AI Trust Audit project aims to develop a novel solution to advance trust in the compliance and risk of AI systems auditing, impact assessment, or evaluation, reliability and robustness testing of radiology AI products. This project is essential as radiology AI products are becoming more widely used, and there is a growing need to ensure that they are reliable, trustworthy and have a positive impact on patients and healthcare providers.The proposed solution will be a software-based AI Trust Audit tool, which will use machine learning algorithms to assess the compliance, risk, and reliability of radiology AI products. The tool will perform automated testing and auditing, as well as impact and risk assessments, to identify potential issues with reliability of these products. The tool will be designed to integrate seamlessly with existing radiology workflows and software systems, making it easy for healthcare providers to use and adopt.The impact of this project will be significant for patients, healthcare providers, and the wider healthcare industry. The AI Trust Audit tool will improve patient safety by identifying and addressing potential issues with radiology AI products before they cause harm. It will also provide healthcare providers with greater confidence in the reliability and performance of these products, leading to increased adoption and improved patient outcomes.In addition to the positive impact on patient outcomes, this project will also benefit the UK economy by supporting the development of a new and innovative healthcare technology. Overall, the AI Trust Audit project is a crucial step forward in ensuring the safe and effective use of radiology AI products. By developing a comprehensive and automated tool that addresses the unique challenges and risks of these products, this project has the potential to revolutionise the way radiology AI products are tested, evaluated, and audited.