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London Medical Imaging & Artificial Intelligence Centre for Value-Based Healthcare

London Medical Imaging & Artificial Intelligence Centre for Value-Based Healthcare
伦敦医学影像
批准号:
104691
负责人:
金额:
$1588.22万
依托单位:
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2019
资助国家:
英国
项目状态:
已结题
起止时间:
2019 至 --

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"The London Medical Imaging & Artificial Intelligence Centre for Value-Based Healthcare will improve NHS patient care and health outcomes, reduce healthcare costs and support the growth of companies, supporting the economy. It will do this by applying artificial intelligence technologies to medical imaging (for example MRI scans, CT scans PET scans and ultrasound). Artificial intelligence will enable faster and earlier diagnosis, automation of reporting, improved patient screening for disease, and identification of the best treatment for each person.We will create a powerful, dynamic Centre bringing together industry, small and medium sized enterprises (SMEs), world-leading researchers, healthcare professionals covering many areas of practice, and experts in data science/governance. The Centre is a collaboration between three excellent universities (King's, Imperial and QMUL), four leading NHS Trusts (Guy's & St Thomas', King's College Hospital, South London & the Maudsley and Barts Health), multinational industry (Siemens, NVIDIA, IBM, GSK), 10 UK-based SMEs and the Health Innovation Network. The Centre will have a physical hub embedded in St Thomas' Hospital, in the heart of one of the UK's top-performing NHS Trusts with specialist services and one of the UK's largest critical care units. It will be underpinned by the existing Wellcome/EPSRC Centre for Medical Engineering, a flagship investment in medical imaging.The Centre will deliver well-governed, controlled access to high-quality NHS imaging and patient data for academic researchers, SMEs and industry partners. This will be done while preserving patient privacy as the first requirement. We will add dedicated expertise in health economics & statistics, care pathway design and clinical implementation to create an environment where products can be created and tested. Recognising this is a new development in healthcare, patients, the wider public and policy makers will all have opportunities to input and shape priorities for the Centre.The Centre will drive progress through a selection of 12 exemplar projects, specifically chosen, with public input, to illustrate the breadth of opportunity-- covering early life (fetal diagnosis) to old age (dementia), various organ systems including heart, brain and lungs, and diseases such as heart failure, headache, congenital conditions and cancer.In addition to the direct benefits of the Centre, this activity will act as a beacon to attract multinational companies, venture capital investment and AI talent from across the world, creating jobs, broader economic benefit and contributing to the UK's prosperity."
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Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information