Abstract
The role of large language models (LLM) in medical and biomedical sciences is remarkable, and chat generative pre-trained transformer (ChatGPT) as an AI model has the potential to assist in research and clinical practice. While it is essential to recognize that AI models like ChatGPT are tools that should be used with human expertise and judgment, they should argue, rather than replace, the knowledge and experience of healthcare professionals and researchers in the medical and biomedical fields.
This is a preview of subscription content, log in via an institution to check access.
Data availability
The datasets generated while writing the current study (all screenshots from chatting with ChatGPT) are available from the corresponding author at reasonable request.
References
Corsello A, Santangelo A (2023) May artificial intelligence influence future pediatric research? The case of ChatGPT. Child (basel, Switzerland). https://doi.org/10.3390/children10040757
Dahmen J, Kayaalp ME, Ollivier M et al (2023) Artificial intelligence bot ChatGPT in medical research: the potential game changer as a double-edged sword. Knee Surg Sports Traumatol Arthrosc 31:1187–1189
Johnson SB, King AJ, Warner EL et al (2023) Using ChatGPT to evaluate cancer myths and misconceptions: artificial intelligence and cancer information. JNCI Cancer Spectr. https://doi.org/10.1093/jncics/pkad015
Kung TH, Cheatham M, Medenilla A et al (2023) Performance of ChatGPT on USMLE: potential for AI-assisted medical education using large language models. PLOS Digit Heal 2:e000198. https://doi.org/10.1371/journal.pdig.0000198
Meskó B, Topol EJ (2023) The imperative for regulatory oversight of large language models (or generative AI) in healthcare. Npj Digit Med 6:120. https://doi.org/10.1038/s41746-023-00873-0
Sorin V, Barash Y, Konen E, Klang E (2023) Large language models for oncological applications. J Cancer Res Clin Oncol. https://doi.org/10.1007/s00432-023-04824-w
Acknowledgements
The concept and understanding behind this letter come after asking questions about ChatGPT and evaluating its answer. (The screenshots of our questions and ChatGPT answers are reported in supplementary 1).
Funding
None.
Author information
Authors and Affiliations
Contributions
All authors contributed to the study's conception and design. Material preparation, data collection, and analysis were performed by NF, SA, MM, and SSM. The first draft of the manuscript was written by NF and SSM, and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.
Corresponding author
Ethics declarations
Conflict of interest
The authors declared no conflict of interest.
Ethical approval
This letter declared no need for ethical approval.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
Below is the link to the electronic supplementary material.
Rights and permissions
About this article
Cite this article
Faraji, N., Aali, S., Motiei, M. et al. Letter to the Editor: ChatGPT's contribution to cancer study. J Cancer Res Clin Oncol 149, 13495–13500 (2023). https://doi.org/10.1007/s00432-023-05183-2
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00432-023-05183-2