Collecting data from CT scans to assess the spread of cancer can be labour intensive and draining on health-care resources. To help accelerate the process of predicting how cancer will spread, researchers at Queen’s University are leveraging artificial intelligence (AI) and natural language processing (NLP).
The NLP models are developed by applying the technology to a sample of CT scans, which searches across organs to determine the presence or absence of metastatic cancer. In tests, the models have proven to reach accuracy rates of 90-99 per cent for detecting and labelling cancer across all organs.
Together, AI and NLP will enable researchers and physicians to process large amounts of CT scan data quickly and help more accurately identify individual diagnoses and treatment plans to improve patient outcomes.
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