Opinions of the UK general public and stroke survivors in using artificial intelligence and ‘opt-out’ models of consent in medical research: a qualitative study

William Heseltine-Carp, Mark Thurtson, Michael Allen, Daniel Browning, Megan Courtman, Aishwarya Kasabe, Emmanuel Ifeachor, Stephen Mullin · 2025

Read Opinions of the UK general public and stroke survivors in using artificial intelligence and ‘opt-out’ models of consent in medical research: a qualitative study by William Heseltine-Carp, Mark Thurtson, Michael Allen, Daniel Browning, Megan Courtman, Aishwarya Kasabe, Emmanuel Ifeachor, Stephen Mullin (2025) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-12706208.txt.

Description

William Heseltine-Carp and co-authors asked the British public and stroke survivors what they think about AI research using patient records, in a 2025 study. The work fed into a project that will train AI to predict stroke risk from the health records of over a hundred thousand patients. Consent would work on an opt-out basis, where data are used unless a person objects.

Eighty-three people took part through surveys, focus groups, and interviews, after briefings on the plans. Nearly all felt it was right to use patient data to train stroke prediction models, and nearly all accepted the opt-out approach. Most also accepted sharing the data beyond the direct care team. The authors present this public backing as a base for the project's data plans.

Catalog record

CREATORWilliam Heseltine-Carp, Mark Thurtson, Michael Allen, Daniel Browning, Megan Courtman, Aishwarya Kasabe, Emmanuel Ifeachor, Stephen Mullin
YEAR2025
COLLECTIONPAPERS
FORMATTXT
FILE SIZE39 KB
VERSION1.0
LICENSECC BY 4.0
RIGHTSCC BY
SOURCEEurope PMC

Source: https://europepmc.org/articles/PMC12706208

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