Image source: istock.com/PHSO

图片来源：istock.com/PHSO

The Department for Health and Social Care (DHSC) has signed Faculty Science as prime contractor for the development of the NHS Artificial Intelligence Deployment Platform (NHS AIDP).

卫生和社会保健部（DHSC）已签署科学学院作为开发NHS人工智能部署平台（NHS AIDP）的主要承包商。

They have agreed on agreed on a £2 million contract to run for two years, the award notice for which has just been published despite its having come into effect in September 2023.

他们商定了一份200万英镑的合同，为期两年，尽管该合同已于2023年9月生效，但其授予通知刚刚发布。

The NHS AIDP is being developed to accelerate the safe deployment of mature and certified AI products for medical imaging in the health service. As a cloud based platform it will provide a standardised infrastructure their deployemt.

NHS AIDP正在开发中，以加速在卫生服务中安全部署用于医学成像的成熟且经过认证的AI产品。作为一个基于云的平台，它将为他们的部署提供一个标准化的基础设施。

“To test this approach, several mature AI products from leading vendors will be deployed into two imaging networks, initially in shadow mode, before being potentially switched on live,” the notice says.

“为了测试这种方法，领先供应商的几种成熟人工智能产品将部署到两个成像网络中，最初是在阴影模式下，然后可能会被实时切换，”通知说。

An earlier description from the NHS Transformation Directorate – now within NHS England – said the two networks are the East Midlands Imaging Network and Thames Valley Radiology Network.

NHS转型董事会（现为英格兰NHS）的早期描述称，这两个网络是东米德兰成像网络和泰晤士河谷放射网络。

Uneven distribution

分布不均

It made the point that there are around 200 AI imaging technologies already on the market, most of which are tested and evaluated through the AI in Health and Care Award, but they are not distributed evenly throughout the NHS and trusts can find it hard to know which are safe to use.

它指出，市场上已经有大约200种人工智能成像技术，其中大多数都是通过人工智能健康与护理奖进行测试和评估的，但它们在整个NHS中分布不均匀，信托公司很难知道哪些是安全使用的。

The NHS AIDP is aimed at making it easier to continually monitor the performance of the technologies.

NHS AIDP旨在使持续监测技术性能变得更加容易。

Faculty Science has previously been involved in the ethical application of AI in healthcare, in areas such as understanding biosecurity risks and modelling patient flows.

教师科学之前曾参与人工智能在医疗保健中的道德应用，例如了解生物安全风险和模拟患者流量。