Automating faecal immunochemical test result interpretation using artificial intelligence and machine learning

“肠癌筛查服务邀请60岁以上无症状的人每两年进行一次基于愈创木脂的粪便潜血测试。从2018年秋季开始，NHS英格兰的肠癌筛查计划（BCSP;由英格兰公共卫生部委托; PHE）将推出粪便免疫化学测试（FIT）以取代gFOBt。FIT更简单，更敏感，可提高肿瘤检出率。然而，FIT的特异性低于gFOBT，增加了结肠镜检查的“假阳性”患者数量。FIT结果将由肠癌专科筛查医生手动解释。为了提高BCSP的整体效率，并优化FIT结果的解释，高级专家系统有限公司（AES），人工智能（AI）和机器学习（ML）软件专家，提出了一个新系统的可行性评估（使用类似的原则，他们为国防部开发的基于AI的系统），1。自动解释FIT结果，在电子病历中的其他数据变量的框架内考虑它们;2.尽可能自动化更广泛的BCSP，从邀请患者到交付结果，并在需要时转发患者。"

"Bowel cancer screening services invite asymptomatic persons aged \>60 years to conduct guaiac-based Faecal Occult Blood testing (gFOBt) every two years. From Autumn 2018, NHS England's Bowel Cancer Screening Programme (BCSP; commissioned by Public Health England; PHE) will roll-out Faecal Immunochemical Test (FIT) to replace gFOBt. FIT is simpler, more sensitive, and improves neoplasia detection However, FIT is less specific than gFOBT, increasing the number of 'false positive' patients being referred for colonoscopy.FIT results will be interpreted manually by a Bowel Cancer Specialist Screening Practitioner. To improve the overall efficiency of the BCSP, and to optimise the interpretation of the FIT result, Advanced Expert Systems Ltd (AES), experts in Artificial Intelligence (AI) and Machine Learning (ML) software, propose a feasibility assessment of a new system (using similar principles to an AI-based system they have developed for the MoD) that1. Automates the interpretation of FIT-results, considering them within a framework of other data variables within the electronic patient record;2. Automates the wider BCSP as much as possible, from invitation of patients to delivery of results and onward forwarding of patients, where required."