Artificial intelligence in cancer diagnosis
As the number of cancer cases worldwide increases, there is a pressing need for prompt and accurate cancer diagnosis. Existing approaches are time-consuming and depend heavily on the knowledge and experience of trained pathologists. To overcome these limitations, the EU-funded AIPACA project aims to develop an artificial intelligence-based software capable of analysing biopsy slides within seconds to identify tumour regions and quantify tumour biomarkers. The software is expected to significantly reduce biopsy processing time and assist diagnosis through deep learning features. Moreover, it will minimise variations in diagnosis, offering a robust and reliable clinical tool.
Fields of science
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