“How can we involve patients?” - students’ perspectives on embedding PPIE into a doctoral training centre for AI in medical diagnosis and care

Syversen, A., Umney, O., Howell, L. et al. (8 more authors) (2025) “How can we involve patients?” - students’ perspectives on embedding PPIE into a doctoral training centre for AI in medical diagnosis and care. Research Involvement and Engagement, 11 (1). 77. ISSN: 2056-7529

Abstract

Metadata

Item Type: Article
Authors/Creators:
Copyright, Publisher and Additional Information:

© The Author(s) 2025. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Keywords: Artificial intelligence; Doctoral training programmes; Healthcare; Junior researchers; Patient and public involvement and engagement; PhD students
Dates:
  • Submitted: 28 March 2025
  • Accepted: 19 June 2025
  • Published (online): 7 July 2025
  • Published: 1 December 2025
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > School of Electrical and Electronic Engineering
Date Deposited: 05 Nov 2025 09:42
Last Modified: 05 Nov 2025 09:42
Status: Published
Publisher: Springer Science and Business Media LLC
Refereed: Yes
Identification Number: 10.1186/s40900-025-00750-y
Related URLs:
Open Archives Initiative ID (OAI ID):

Export

Statistics