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Aiming to discover novel ways to help clinicians make treatment decisions for prostate cancer patients using AI on cost effective digital tumour images that should be easier to use in healthcare settings.
In recent prostate cancer research, artificial intelligence (AI) has been employed on digital images of tumour samples to identify which patients would benefit from receiving androgen deprivation therapy, a prostate cancer treatment. AI applied to digital images of tumour samples is cost effective and can be improved with the inclusion of further tumour samples in the AI model over time. This combination of digital imaging and AI holds promise as a candidate for approval in healthcare systems to advance patient care.
For many useful AI models, it is difficult to understand why they make certain decisions, preventing trusted use by clinicians and patients in healthcare settings. Additionally, many discoveries in prostate cancer have investigated tumour genomics and translated these findings onto the cost-effective digital tumour images, which would make it easier for their use in healthcare. Finally, combining digital tumour images with other patient data also enables better discovery efforts.
This research is carried out in collaboration with and supported by funding from the Prostate Cancer Centre of Excellence at Queen’s University Belfast.
