An in-house developed software tool is helping to tackle discharge delays at University Hospitals of North Midlands NHS Trust, anonymising and analysing data relating to patient discharges to help identify those who could benefit from virtual ward review or early intervention to avoid delays. The High Risk of Delayed transfer […]
Tag: Data4
Launching the HTN AI and Data Awards!
We’re officially launching the HTN AI and Data Awards, to share and celebrate how these technologies are making an impact across health and care. The awards programme is designed to provide a platform for projects and innovations that are helping to shape future services and to showcase how AI and […]
AI Opportunities Action Plan to establish AI growth zones, unlock data assets, support vendors to scale, promote trust and adoption
The UK Government has published its AI Opportunities Action Plan, accepting recommendations for expanding computing capacity, establishing AI growth zones, unlocking data assets, and sharing alongside a proposed delivery timeline. In a foreword, Prime Minister Keir Starmer highlights the “defining opportunity of our generation”, outlining the potential of AI to […]
New report offers recommendations to unlock value of Scotland’s public sector personal data for public benefit
The Scottish Government has published a response to a report commissioned from an independent expert group on ‘Unlocking the Value of Data’, focusing on maximising the value of “Scotland’s public sector personal datasets in secure, ethical and transparent ways, to realise public benefit”. In a Ministerial Foreword, Richard Lochhead, Minister […]
Interview: Dr Harvey Castro, AI expert and advisor to Singaporean Ministry of Health
For a recent interview, we caught up with Harvey Castro, AI expert and AI advisor to the Singaporean Ministry of Health, to learn more about current projects, learnings, and predictions for the future of AI. Harvey began by introducing himself, telling us about his current role as chief medical AI […]
Imperial College Healthcare AI analysis provides insights into IVF treatment success
A research team at Imperial College Healthcare and staff from Imperial College London recently published findings from an AI analysis, noting that AI could help guide the optimum time to collect eggs for IVF success. The analysis looked at 19,000 patients who had completed IVF treatment, using “explainable AI” to […]
Research study involving 350 experts from 58 countries offers recommendations to ensure inclusivity of datasets for medical AI
A research project reportedly involving more than 350 experts from 58 countries has seen the development of a series of recommendations with the aim of ensuring inclusivity in datasets used to train medical AI systems, hoped to allow “everyone in society to benefit from technologies which are safe and effective”. […]
South Yorkshire Digital Health Hub announces £500,000 of funding for seven innovative projects
South Yorkshire Digital Health Hub (SYDHH) has announced £500,000 of funding for seven innovative projects to help with disease diagnosis and address health inequalities across the region. The University of Sheffield and Sheffield Hallam University developed the £4 million South Yorkshire Digital Health Hub just over a year ago to […]
Imperial College Healthcare outlines framework to future-proof approach to AI
Imperial College Healthcare NHS Trust has published its framework and approach to future-proof the trust’s adoption and utilisation of AI. The framework outlines the aim of improving care for patients “from diagnosis to treatment to the administrative functions that keep our hospitals moving”; adding that it will be “vital” […]
Imperial College London and Edinburgh University develop brain scanning AI software
Imperial College London and Edinburgh University have developed an AI software said to read the brain scans of patients who have had a stroke, to understand when the stroke happened and whether it can be successfully treated. The AI algorithm was trained on a dataset of 800 brain scans where […]
