Generative AI for patient education in cancer care: A scoping review of evaluation practices and emerging trends

GenAI shows promise in enhancing patient education for cancer care, but evaluation practices lack standardisation and cultural responsiveness. Future research should prioritise validated frameworks, patient-centred metrics, and prompt engineering strategies to ensure safe, equitable and effective integration of GenAI in clinical care.

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Publication Details

Journal
Technical Innovations & Patient Support in Radiation Oncology
Published
2025-12-28
DOI
https://doi.org/10.1016/j.tipsro.2025.100373
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00

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article

Generative AI for patient education in cancer care: A scoping review of evaluation practices and emerging trends

Aidan G Leong, Keita Ormsby
Technical Innovations & Patient Support in Radiation Oncology
Artificial Intelligence in Healthcare and Education
article

Generative AI for patient education in cancer care: A scoping review of evaluation practices and emerging trends

Aidan G Leong, Keita Ormsby
article en

Abstract

GenAI shows promise in enhancing patient education for cancer care, but evaluation practices lack standardisation and cultural responsiveness. Future research should prioritise validated frameworks, patient-centred metrics, and prompt engineering strategies to ensure safe, equitable and effective integration of GenAI in clinical care.

Technical Innovations & Patient Support in Radiation OncologyVol. 37
Icon (Australia) (AU), University of Otago (NZ)
University of Otago, Division of Health Sciences, University of Otago
Quality Education
Openalex Percentile: Top 39%
Artificial Intelligence in Healthcare and Education
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