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Using Data and AI to Predict Patient Outcomes in Spinal Osteomies
He is researching the use of innovative technologies to help us predict which patients will benefit from complex spinal osteotomies for deformity, which has a very high complication rate.
Our research is looking at how we can use innovative technologies that are actually present in what we have here at Mass General to help us predict which patients will benefit from these types of reconstructions and also help us plan and perform these safely.
We're continuing to expand this type of technology in terms of seeing how we can integrate computer-based learning as well as artificial intelligence to further understand how much correction is needed for these deformities and how extensive the reconstructions need to be for these patients.
We're taking the patients' preoperative studies and looking at computer modeling to understand really how much their cervical spines and their spines can tolerate with regards to manipulation and reconstruction.
£200 million to create a new generation of artificial intelligence leaders
1,000 new PhDs created to drive AI transformation across industry, healthcare and climate change 16 new centres will work with 300 partners including Google, Rolls-Royce and AstraZeneca Future leaders will ensure ethical questions are a key component of developing new technologies One thousand new research and business leaders will be created to ensure the UK leads the global revolution in Artificial Intelligence (AI).
This new generation of PhD students will use AI technology to improve healthcare, tackle climate change and create new commercial opportunities, thanks to a £100m investment from UK Research and Innovation announced today, Thursday 21 February 2019.
Project partners are investing £78 million in cash or in-kind contributions and partner universities are committing a further £23 million, resulting in an overall investment of more than £200 million.
Business Secretary Greg Clark said: 'The UK has long been a nation of innovators and today's package of AI skills and talent investment will help nurture leading UK and international talent to ensure we retain our world-beating reputation in research and development.
One example is in healthcare, where AI is being developed to analyse information and images, such as X-ray scans, to pick up abnormalities at an earlier stage and ensure that patients can receive life-saving treatment.
The Centre will align with broader health data science initiatives and will be fertilised by leading academics who combine clinical with AI expertise and have commercial connections including companies that have already succeeded in deploying their products in the NHS.
UKRI Centre for Doctoral Training in Environmental Intelligence: Data Science and AI for Sustainable Futures Led by: Professor Gavin Shaddick, University of Exeter The vision of the CDT is to enhance society's resilience to changes in our environment through Environmental Intelligence (EI): the use of AI to understand complex interactions between the environment, climate, natural ecosystems, human social and economic systems, and health.
The CDT will equip a new generation of experts in NLP, developing future leaders and producing cutting-edge research with relevance to a wide range of applications that translate text, recognise or produce speech, answer questions, retrieve documents or facts, respond to commands, summarise articles, and simplify texts for children or non-native speakers.
UKRI Centre for Doctoral Training in Artificial Intelligence and Music Led by: Professor Simon Dixon, Queen Mary University of London The core area of the CDT is in Music Information Research, or Music Informatics, a research area of importance to the UK's Creative Industries focusing on the development of new approaches to understand and model music and to develop products and services for creation, interaction and experience of music and music-related information.
UKRI Centre for Doctoral Training in Speech and Language Technologies and their Applications Led by: Professor Thomas Hain, University of Sheffield The vision of the CDT is to create a world-leading centre for training Speech and Language Technologies (SLT) scientists and engineers, providing advanced training in the theory and application of computational speech and language processing.
UKRI Centre for Doctoral Training in Artificial Intelligence, Machine Learning and Advanced Computing Led by: Professor Gert Aarts, Swansea University Research in science, health and engineering relies on AI to support a wide range of activities, from the discovery of gravitational waves to the detection of breast cancer and development of autonomous decision-making.
UKRI Centre for Doctoral Training in Application of Artificial Intelligence to the study of Environmental Risks (AI4ER) Led by: Professor Simon Redfern, University of Cambridge AI will transform our ability to understand, monitor and predict the environmental risks associated with population and economic growth, which place increasing demands on a finite planet.
UKRI Centre for Doctoral Training in Artificial Intelligence for Medical Diagnosis and Care Led by: Professor David Hogg, University of Leeds In future, AI could automatically identify those at risk of cancer before symptoms appear and suggest lifestyle changes that would reduce long-term risk, greatly speed up and increase the reliability of diagnostic services such as radiology and pathology, and help doctors and patients select the most appropriate care pathway based on personal history and clinical need.
### Notes to Editors: For further information contact James Giles-Franklin, Media Manager, UKRI, on email@example.com and 07702 611906, or email firstname.lastname@example.org UK Research and Innovation is a new body which works in partnership with universities, research organisations, businesses, charities, and government to create the best possible environment for research and innovation to flourish.
- On 30. november 2020
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