Researchers at the University of Waterloo's Laboratory for Knowledge Inference in Medical Image Analysis (KIMIA Lab) in Canada have developed a system that combines artificial intelligence (AI) with human knowledge to provide faster and more accurate cancer diagnoses.
The technology uses digital images of tissue samples to match new cases of suspected cancer with previously diagnosed cases in a database.
In tests using the largest publicly available archive in the world, made up of about 30,000 digitized slides from almost 11,000 patients, the tool achieved up to 100% accuracy by identifying 32 forms of cancer in 25 organs and body parts.
Said KIMIA Lab director Hamid Tizhoosh, "AI can help us tap into our medical wisdom, which at the moment is just sitting in archives."
From University of Waterloo News
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