Avoiding the AI ‘Off-Switch’:Make AI Work for Clinicians, to Deliver for Patients

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Item Type:	Other
Authors/Creators:	Lawton, Tom Porter, Zoe (zlmp500@york.ac.uk) Habli, Ibrahim https://orcid.org/0000-0003-2736-8238 Sharma, Vishal Morgan, Phillip David James https://orcid.org/0000-0002-8797-4216 Iacovides, Jo https://orcid.org/0000-0001-9674-8440 Cunningham, Alice Jia, Yan (yan.jia@york.ac.uk) Hussain, Muhammad https://orcid.org/0009-0008-5116-3893 Hughes, Nathan (nathan.hughes@york.ac.uk) Wong, Nee Ling Hayat, Yasmeen Gould, Shireen
Dates:	Published: 26 March 2025
Institution:	The University of York
Academic Units:	The University of York > Faculty of Sciences (York) > Computer Science (York) The University of York > Faculty of Social Sciences (York) > The York Law School
Funding Information:	Funder Grant number THE MEDICAL PROTECTION SOCIETY LIMITED (MPS) Shared CAIRE
Depositing User:	Pure (York)
Date Deposited:	27 Mar 2025 00:12
Last Modified:	08 Apr 2025 23:24
Published Version:	https://doi.org/10.15124/yao-r84a-jk13
Status:	Published
Identification Number:	10.15124/yao-r84a-jk13
Open Archives Initiative ID (OAI ID):	oai:eprints.whiterose.ac.uk:224888

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