NHS and Intel cooperate to improve cancer detection efficiency with AI technology
According to foreign media reports, the British National Health Service (NHS) and Intel formally established a cooperative relationship, intending to use artificial intelligence technology to improve the efficiency of cancer detection.
Last week, the University of Warwick, Coventry and Warwick University Hospital NHS Trust (UHCW) and Intel announced a partnership, they will jointly promote a new project, through innovative artificial intelligence technology to more effectively and accurately cancer Cells are classified.
The University of Warwick's Tissue Image Analysis (TIA) lab has organized a group of scientists, led by Professor Nasir Rajpoot, to build a database of known tumors and immune cells based on thousands of human tissue cells. Reuse relevant algorithms and this cancer information database to automatically identify cancer cells.
Although certain types of cancer are more lethal than others, the timing of cancer is often the key to treatment. Usually, people often find the best treatment opportunity when they find cancer.
Regardless of the type of disease, the sooner you find it, the sooner you are diagnosed, the sooner you start treatment, and the higher your patient survival rate.
Professor David Snead, director of cytopathology clinicians, Coventry and director of the NHS Trust Centre of Excellence at Warwick University Hospital, says researchers and medical professionals have long known about computer analysis. Cells are faster than humans, and applying this technology to actual work can better serve patients.
They signed a cooperation agreement with the Alan Turing Institute to establish a cell recognition model using data analysis and artificial intelligence technology. The initial research direction will focus on lung cancer.
The artificial intelligence system will be built on top of the architecture including TensorFlow, which was originally designed by Google (microblogging); the system will use Intel's Xeon processor.
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