Improving patient understanding of oncology imaging: radiologist and patient evaluation of summarised versus full-length AI-simplified reports from a tertiary cancer centre

Abstract Background Oncology practice is increasingly aiming to be patient centric. Imaging is a decisive part of the management of cancer patients and with the introduction of Digital Health Records (DHR) patients have the possibility of accessing their imaging results independently, yet the optima...

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Hauptverfasser:	Ana S. F. Ribeiro, Olga Husson, Sheila Matharu, Saffron Cox, Davide Meo, Richard Sidebottom, Robby Emsley, Karen Thomas, Joshua Shur, Francesca Castagnoli, Sharmin Malekout, Elizabeth Robinson, Chin Lian Ng, Christian Kelly-Morland, Wim J.G. Oyen, Winette T. A. van der Graaf, Christina Messiou
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	BMC 2026-04-01
Schriftenreihe:	Cancer Imaging
Schlagworte:	Simplified imaging reports Artificial intelligence Large language models Patient preferences
Online-Zugang:	https://doi.org/10.1186/s40644-026-01031-x
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