In Reply to Sengul I and Sengul D

Fabio Dennstädt^{1

2}, Janna Hastings^{3

4

5}, Paul Martin Putora^{1

2}, Erwin Vu¹, Galina Fischer¹, Krisztian Süveg¹, Markus Glatzer¹, Elena Riggenbach², Hông-Linh Hà¹, Nikola Cihoric²

Affiliations

¹ Department of Radiation Oncology, Kantonsspital St. Gallen, St. Gallen, Switzerland.
² Department of Radiation Oncology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland.
³ School of Medicine, University of St. Gallen, St. Gallen, Switzerland.
⁴ Institute for Implementation Science in Health Care, University of Zurich, Zurich, Switzerland.
⁵ Swiss Institute of Bioinformatics, Lausanne, Switzerland.

PMID: 40693192
PMCID: PMC12277843
DOI: 10.1016/j.adro.2025.101800

In Reply to Sengul I and Sengul D

Fabio Dennstädt et al. Adv Radiat Oncol. 2025.

. 2025 Jul 10;10(7):101800.

doi: 10.1016/j.adro.2025.101800. eCollection 2025 Jul.

Authors

Affiliations

¹ Department of Radiation Oncology, Kantonsspital St. Gallen, St. Gallen, Switzerland.
² Department of Radiation Oncology, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland.
³ School of Medicine, University of St. Gallen, St. Gallen, Switzerland.
⁴ Institute for Implementation Science in Health Care, University of Zurich, Zurich, Switzerland.
⁵ Swiss Institute of Bioinformatics, Lausanne, Switzerland.

PMID: 40693192
PMCID: PMC12277843
DOI: 10.1016/j.adro.2025.101800

No abstract available

PubMed Disclaimer

Conflict of interest statement

Nikola Cihoric is a technical lead for the SmartOncology© project and medical adviser for Wemedoo AG, Steinhausen AG, Switzerland. Paul Martin Putora reports research support provided to the institution by Bayer and AstraZeneca. The other authors have no conflicts of interest to declare.

References

1. Dennstädt F., Hastings J., Putora P.M., et al. Exploring capabilities of large language models such as ChatGPT in radiation oncology. Adv Radiat Oncol. 2024;9 - PMC - PubMed
1. Huang Y., Gomaa A., Semrau S., et al. Benchmarking ChatGPT-4 on a radiation oncology in-training exam and Red Journal Gray Zone cases: Potentials and challenges for AI-assisted medical education and decision making in radiation oncology. Front Oncol. 2023;13 - PMC - PubMed
1. Yalamanchili A., Sengupta B., Song J., et al. Quality of large language model responses to radiation oncology patient care questions. JAMA Netw Open. 2024;7 - PMC - PubMed
1. Clusmann J., Kolbinger F.R., Muti H.S., et al. The future landscape of large language models in medicine. Commun Med (Lond) 2023;3:141. - PMC - PubMed
1. Dennstädt F., Schmerder M., Riggenbach E., et al. Comparative evaluation of a medical large language model in answering real-world radiation oncology questions: A multicenter observational study. J Med Internet Res. 2024 doi: 10.2196/69752. Published online December 10. - DOI

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In Reply to Sengul I and Sengul D

Affiliations

In Reply to Sengul I and Sengul D

Authors

Affiliations

Conflict of interest statement

References

Publication types

LinkOut - more resources

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