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AI diagnosis of ovarian cancer - can you trust a machine to find tumours?

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Lecture Room 3 , Faculty of Divinity, University of Cambridge

25 West Road

Cambridge

CB3 9DP

United Kingdom

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An overview of work by a team from the University of Cambridge to develop algorithms which can accurately detect ovarian cancer on CT scans.

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CAMBRIDGE FESTIVAL

Our presentation gives an overview of our research developing algorithms which can accurately detect ovarian cancer on CT scans. We want to know how the audience feel about, or if they would trust, Artificial Intelligence being used in the diagnosis of cancer. The presentation will also involve showing them images of segmentations manually and automatically done, using a Visual Turing Test (VTT) environment we have developed.

First, we will give an overview of ovarian cancer, and how AI can be applied in its diagnosis.

Following this, we will present a VTT, where we will challenge the audience to spot AI generated segmentations, mixed with those created by a human radiologist.

The presentation will conclude with an open a discussion on what the public sees as the major issues surrounding the use of AI in the delivery of medical care. This discussion will be kicked-off by giving an overview of the findings of a study currently underway which aims to explore the views of ovarian cancer patients on the use of AI tools for radiological image interpretation in their care.

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Location

Lecture Room 3 , Faculty of Divinity, University of Cambridge

25 West Road

Cambridge

CB3 9DP

United Kingdom

View Map

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