Assessing the Quality and Reliability of ChatGPT’s Responses to Radiotherapy-Related Patient Queries: Comparative Study With GPT-3.5 and GPT-4

Both GPT-3.5 and GPT-4 demonstrated having the capability to address radiotherapy concepts, with GPT-4 showing superior performance. However, both models present readability challenges for the general population. Although ChatGPT demonstrates potential as a valuable resource for addressing common patient queries related to radiotherapy, it is imperative to acknowledge its limitations, including the risks of misinformation and readability issues. In addition, its implementation should be supported by strategies to enhance accessibility and readability.

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Publication Details

Journal
JMIR Cancer
Published
2025-04-16
DOI
https://doi.org/10.2196/63677
Citations
11
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
7.20
Controls
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article

Assessing the Quality and Reliability of ChatGPT’s Responses to Radiotherapy-Related Patient Queries: Comparative Study With GPT-3.5 and GPT-4

Elisabete Carolino, Ana Monteiro Grilo, Marco Caetano, C.P. Marques et al.
11 citations
JMIR Cancer
Artificial Intelligence in Healthcare and Education
7.20
article

Assessing the Quality and Reliability of ChatGPT’s Responses to Radiotherapy-Related Patient Queries: Comparative Study With GPT-3.5 and GPT-4

Elisabete Carolino, Ana Monteiro Grilo, Marco Caetano, C.P. Marques, Maria Corte-Real
article en
11 citations

Abstract

Both GPT-3.5 and GPT-4 demonstrated having the capability to address radiotherapy concepts, with GPT-4 showing superior performance. However, both models present readability challenges for the general population. Although ChatGPT demonstrates potential as a valuable resource for addressing common patient queries related to radiotherapy, it is imperative to acknowledge its limitations, including the risks of misinformation and readability issues. In addition, its implementation should be supported by strategies to enhance accessibility and readability.

JMIR CancerVol. 11
University of Lisbon (PT), Universidade Politécnica de Lisboa (PT)
Quality Education
Openalex Percentile: Top 3%
Artificial Intelligence in Healthcare and Education
7.20
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Assessing the Quality and Reliability of ChatGPT’s Responses to Radiotherapy-Related Patient Queries: Comparative Study With GPT-3.5 and GPT-4 — Elisabete Carolino, Ana Monteiro Grilo, et al. · JMIR Cancer (2025) | TGRS Research Map | TGRS