November 22, 2024

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Oxford researchers are trying to diagnose prostate cancer using artificial intelligence

Oxford researchers are trying to diagnose prostate cancer using artificial intelligence

Researchers and clinicians at the University of Oxford have begun an evaluation of AI software that could help pathologists diagnose prostate cancer. In the UK, around 46,000 new cases of prostate cancer are reported each year, an increase of 12 per cent over the past ten years.

Oxford University Hospitals announced in a press release on me. This is an important milestone in it Study ARTICULATE PRO Led by the University of Oxford.

This two-year project aims to investigate the pervasiveness of AI in the prostate cancer pathway using Paige Prostate. The tool is a computer-aided diagnostic system designed to assist pathologists in locating, classifying, and quantifying tumors in prostate biopsies or tissue samples. Two other NHS organizations – Coventry University Hospital and Warwickshire and North Bristol NHS Trust – will be evaluating the Paige Prostate Suite programme.

We strive for an accurate diagnosis

The technology should immediately alert pathologists to suspicious areas by identifying characteristics of malignant cells captured through previous training in large data sets of biopsies. It also evaluates how much tumor is present and how aggressive it is.

The project is being led by Claire Ferrell, a urologist in Oxford. She said, “One of our main goals in healthcare is to diagnose cancers accurately and at an early stage, so that treatment can move forward faster and ultimately improve patient outcomes. If we can use this diagnostic technology to achieve this, that would be great news for patients.”

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Impact on workflow

This is why this assessment – the first of its kind – is such an important step. We will not only look at how well this program performs in a busy clinical environment and whether it improves diagnostic accuracy and efficiency, but also evaluate the clinician and patient experience and consider the impact on workflow. For example, OUH pathologists use AI applications to help read prostate biopsy slides as part of their routine work.

She added: “In 2020, OUH’s Histopathology Laboratory was one of the first in the UK to reach the milestone of scanning 100 per cent of the surgical tissue workload. Our experience in digital pathology makes us an ideal environment to test AI technologies like the Paige Prostate Suite in a real clinical setting.”