Developing a Metrological framework for Assessment of Image-Based Artificial Intelligence systems for disease detection

开发用于评估基于图像的疾病检测人工智能系统的计量框架

• 批准号: 10088801
• 金额: $ 40.37万
• 依托单位: ROYAL SURREY NHS FOUNDATION TRUST
• 依托单位国家: 英国
• 项目类别: EU-Funded
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=10088801
• 关键词: Developing; Metrological; framework; Assessment; Image

Image-based artificial intelligence (AI) systems for disease detection are increasingly being developed, and it is vital that these tools are robust and effective in heterogeneous clinical settings. To date, performance has been assessed in an ad hoc manner as there are no approved guidelines for evaluation. Most studies have methodological weaknesses and results that are not comparable. A standardised and impartial framework for performance, generalisability, and suitability assessment of AI tools will address these needs and enable more efficient, reliable, and reproducible validation of image-based AI systems for disease detection. This project will use breast cancer screening as the exemplar to inform the design of such a framework.

用于疾病检测的基于图像的人工智能（AI）系统正在得到越来越多的开发，这些工具在不同的临床环境中具有鲁棒性和有效性至关重要。迄今为止，由于没有核可的评价准则，一直以临时方式评价业绩。大多数研究都有方法上的弱点，结果也不具有可比性。人工智能工具的性能、通用性和适用性评估的标准化和公正框架将满足这些需求，并使基于图像的人工智能系统用于疾病检测的验证更加有效、可靠和可重复。本项目将以乳腺癌筛查为例，为这一框架的设计提供参考。