A platform which allows an AI model to recognise abnormalities in anatomical structures has been developed by King’s College London and the University of Surrey in collaboration with Royal Surrey NHS Foundation Trust and Oral Health Foundation, with the project aiming to “provide a one-stop solution to both collect and […]
Tag: Data4
Amazon expands AWS HealthImaging service for medical data at scale
Amazon has announced the general availability of its AWS HealthImaging service, designed to help providers build cloud-native applications to store, analyse and share medical imaging data at petabyte-scale. The service is said to enable all of an organisation’s medical imaging applications access to “a single authoritative copy of data without duplication” […]
NHSE shares specification for system co-ordination centres, including digital software requirements and metrics to be monitored
NHS England has released its System Co-ordination Centre (SCC) specification framework, building on the minimum viable product for system control centres guidance that it released at the end of 2022 and outlining the purpose, key deliverables and minimum operating requirements for SCCs to meet for winter 2023/24. In terms of […]
Microsoft collaborates with Epic to deliver “highly scalable public cloud” Azure Large Instances
Microsoft has announced that it is expanding its collaboration with Epic through the delivery of a Microsoft Azure Large Instances, a “highly scalable public cloud” that is “designed to achieve the scale needed to run a large Epic electronic health record database – up to 50 million database accesses per […]
£13 million from UKRI Technology Missions Fund for 22 AI research projects
The government has announced that £13 million is to be made available from the UK Research and Innovation’s Technology Missions Fund to support 22 health research projects which focus on the use of artificial intelligence to “assist and refine” diagnostics and procedures. The projects are to use AI in a […]
NICE draft guidance recommends AI technologies to increase contouring efficiency
NICE has published draft guidance to recommend nine technologies to assist in planning treatment for patients undergoing external beam radiotherapy for prostate, lung or colorectal cancers. The technologies can be used to produce “contours” or outlines of the healthy organs, in which NICE estimates 3,750 hours of time could be […]
King’s College London to explore environmental sustainability of AI-enabled digital health
A new research project led by King’s College London seeks to explore the environmental impacts of artificial intelligence enabled health, with a central focus on how “ethical principles can be integrated to improve the sustainability” of digital health systems. The project, ‘Exploring digital health promises and practices through a sustainability […]
CQC digital record system guidance places emphasis on availability, security and governance with a person-centred approach
Care Quality Commission has released guidance on best practice for digital record systems, focusing on the role of “good quality records” in providing “safe, effective, compassionate, high-quality care”, and sharing four principles for providers around keeping systems person-centred with emphasis on availability, security, and governance. The first of the four […]
Anthropic, Google, Microsoft and OpenAI collaborate on responsible development of frontier AI models
Anthropic, Google, Microsoft and OpenAI have announced that they are collaborating to form a new industry body focusing on ensuring the “safe and responsible” development of frontier AI models, hoping to facilitate collaboration, identify best practices, and advance AI safety research. The Frontier Model Forum “will draw on the technical […]
AI model makes “high confidence” predictions for at least 40 percent of tumours with unknown site of origin
An AI model developed by researchers at Massachusetts Institute of Technology (MIT) and Dana-Farber Cancer Institute could potentially make it easier to target treatments for patients with cancer of unknown primary origin, following a study in which the model was able to “accurately classify at least 40 percent of tumours of […]
