Addenbrooke’s Hospital turns to AI to cut cancer wait times

Addenbrookes医院求助人工智能缩短癌症等待时间

2021-01-14 00:36:01 digitalhealth

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A hospital in Cambridge has used artificial intelligence to automate laborious administration tasks and reduce cancer wait times. Addenbrooke’s Hospital has cut radiotherapy preparation tasks by up to 90% using machine learning models built using InnerEye, an artificial intelligence (AI) collaboration between Microsoft Research and the hospital. The drastic cut in administration means clinicians can start potentially life-saving radiotherapy treatments for cancer patients much quicker. Dr Yvonne Rimmer, oncologist at Addenbrooke’s, added: “There is no doubt that InnerEye is saving me time. It’s very good at understanding where tumours and healthy organs are. It’s speeding up the process so I can concentrate on looking at a patient’s diagnostic images and tailoring treatment to them. “But it’s important for patients to know that the AI is helping me do my job; it’s not replacing me in the process. I double check everything the AI does and can change it if I need to. The key thing is that most of the time, I don’t need to change anything.” Up to half of the population in the UK will be diagnoses with cancer at some point in their lives, with half of those treated with radiotherapy. Research published in the journal JAMA Network Open found the InnerEye machine learning modules can carry out lengthy ‘image segmentation’ requiring hours of expert clinicians’ time. The models “achieved levels of clinical accuracy” while also “reducing manual contouring time and performing consistently well across previously unseen heterogeneous data sets” the journal evaluation concluded. Aditya Nori, head of health intelligence at Microsoft Research, said: “This is the first time, we believe, that an NHS trust has implemented its own deep learning solution trained on their own data, so it can be used on their patients. “It paves the way for more NHS trusts to take advantage of open-source AI tools to help reduce cancer treatment times.” The InnerEye Deep Learning Toolkit is freely available as open-source software by Microsoft.
剑桥的一家医院已经使用人工智能来自动化费力的给药任务,减少癌症等待时间。 Addenbrookes医院利用InnerEye建立的机器学习模型,将放射治疗准备任务削减了90%,InnerEye是微软研究公司和医院合作开发的人工智能(AI)。 大幅削减给药量意味着临床医生可以更快地开始对癌症患者进行有可能挽救生命的放射治疗。 AddenBrookes的肿瘤学家伊冯·里默博士补充说:毫无疑问,InnerEye正在为我节省时间。它非常擅长于了解肿瘤和健康器官的位置。它加快了这个过程,这样我就可以集中精力看病人的诊断图像,并为他们量身定做治疗。 但重要的是让病人知道人工智能正在帮助我完成我的工作;在这个过程中它不能取代我。我会仔细检查人工智能所做的一切,如果需要的话,我可以改变它。关键是,大多数时候,我不需要改变任何事情。 在英国,多达一半的人口将在一生中的某个时候被诊断出患有癌症,其中一半的人将接受放射治疗。 发表在JAMA Network Open杂志上的一项研究发现,内眼机器学习模块可以进行长时间的图像分割,这需要数小时的专家临床工作时间。 评估杂志总结说,这些模型达到了临床精确度的水平,同时也减少了人工轮廓绘制的时间,并且在以前未见过的异质数据集中表现一直很好。 微软研究院健康智能主管Aditya Nori表示:这是第一次,我们认为,一个NHS信托实现了在他们自己的数据上训练的自己的深度学习解决方案,因此可以用在他们的患者身上。它为更多的NHS信托基金利用开源AI工具帮助缩短癌症治疗时间铺平了道路。 InnerEye Deep Learning Toolkit是微软免费提供的开源软件。

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