Attitudes toward large language model-based Artificial Intelligence systems as an information source for shared decision-making in radiation oncology.

ABSTRACT:

Background

Implementing structured shared decision-making (SDM) requires high-quality, reliable patient information. In radiation oncology, patients often have limited knowledge and misconceptions about therapy and side effects, affecting their decision-making. Large language model-based AI systems (LLMs) may help by providing evidence-based information in accessible language, but successful implementation depends on the willingness of patients and health care professionals (HCPs) to adopt these technologies.

Methods

A survey was conducted among patients undergoing radiation therapy and HCPs between 03/2024 and 02/2025. Data was collected using structured electronic questionnaires (32 items for patients, 35 for HCPs). The survey assessed sociodemographic characteristics, the

SUBMITTER: Moser R 

PROVIDER: S-EPMC12828691 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature