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USING AI TO DIAGNOSE OVARIAN CANCER: WOULD YOU TRUST A MACHINE TO HELP FIND TUMOURS?

4:00pm-5:00pm on Tuesday 5 April

Times shown are in GMT (UTC +0) up to the 26th March. For events on or after 27th March times are in BST (UTC +1).

Lecture Room 3 Faculty of Divinity , Sidgwick Site, West Road, CB3 9BS

Our presentation gives an overview of our research developing algorithms that can accurately detect ovarian cancer on CT scans. We will ask the audience how they feel about artificial intelligence being used in clinical practice and how much they trust it, and then present images of segmentations done manually and automatically, using a Visual Turing Test environment we have developed.

The presentation will first give an overview of ovarian cancer, and how artificial intelligence (AI) can be applied in its diagnosis.

Following this, we will present a “Visual Turing test”, 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 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.

Booking/Registration is: REQUIRED

Additional Information

Age: Adults, Young Adults 12 – 18
Format: Talk
Timing: In person
Cost: Free
Event Capacity: 40
Theme: Health
Accessibility: Full access

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