PACES

Artificial intelligence (machine learning) is predicted to revolutionise clinical care of cancer patients.  It is expected to speed-up and improve how doctors make diagnoses, as well as help us to provide more effective and personalised treatments, tailored to individual patients. Several machine learning algorithms have been developed specifically for bowel cancer.

The aim of PACES (Pathology Artificial-Intelligence Clinical Evaluation Study) is to understand how machine learning algorithms will contribute to improving bowel cancer patient care in the NHS.  For example, how they will fit into current care pathways and how doctors and patients will use these algorithms to make decisions about treatment.  

If you choose to take part in this study, you will not require any additional hospital visits or any additional biopsies.  With your consent, these algorithms will be used to analyse anonymised microscopic images of your cancer, that are created as part of your normal care.  The results of the algorithms will be shared with your specialist cancer doctor after any treatment decisions have already been made.  The study will not affect your care.

Using feedback questionnaires from you and your doctor, as well as other measurements, we will learn more about how these algorithms can be used to improve care for bowel cancer patients.

To contact the study team, please email: paces@medsci.ox.ac.uk